Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Readers: please only email these addresses to discuss work opportunities.
Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com.
Remote: Yes, open to remote, hybrid, or in office
Willing to relocate: Yes
Technologies: Fortran, Python (Matplotlib, Numpy, Pandas, Scipy), OpenMP, Git/GitHub, Linux, Bash, others...
Résumé/CV: Available on request
Email: d6q730rl [at] fastmail [dot] com
GitHub: https://github.com/btrettel
Personal website: http://trettel.us/
I'm Ben Trettel, an experienced mechanical engineer with a PhD, specializing in computational fluid dynamics, design optimization, and verification & validation of computer simulations.
I am particularly interested in opportunities to build cutting-edge physical products where computational simulation and design optimization are key.
Please email me at the address above about only specific work opportunities that are matched to my skills and background, not generic work opportunities that anyone can apply to or non-work opportunities like advertising your job board.
AI is central to how I work now: I use it like a junior I delegate work to, but I always validate its output. I've also built AI tools and apps myself, so I know where these tools excel and where they quietly add risk.
I believe in using the right tool for each task. Strong infrastructure background (AWS, cloud-native, distributed systems).
I've attempted to bootstrap products myself so I understand what it takes beyond writing code. I take full ownership end to end, I don't wait to be told what needs solving.
Available immediately and used to working on US timezones. Open to senior IC or tech lead roles. US C-Corp for contracting.
Beyond coding, I am focused on creating business value and bridging the gap between engineering and business. I've authored 10 comprehensive technical proposals for state government projects and led an organizational effort that slashed customer time-to-resolution by 75%.
I'm looking for a senior to principal-level role where I can solve complex technical challenges and drive business value.
Location: Seattle, WA
Remote: Remote, Hybrid, Onsite
Willing to relocate: No
Technologies:
Resume/CV: https://content.mashio.net/wp-content/uploads/2026/09/Walthe...Email: matt@mashio.net
Staff SWE, Platform (SF) https://grnh.se/h4368vl55us
Staff SWE, Product Security (SF/NYC) https://grnh.se/b2kbmt3j5us
Staff SWE, AI (SF) https://grnh.se/cq0caps45us
Staff Systems Engineer (SF) https://grnh.se/gbus43dg5us
Staff & Sr SWE (SF, NYC, DC) https://grnh.se/6jhp864a5us // https://grnh.se/gwf63pot5us
Senior SWE, Foundations (SF/NYC) https://grnh.se/mn995net5us
Sr SWE, Data Infrastructure (SF/NYC/DC) https://grnh.se/bq138yn05us
Senior SWE, Federal Platform (DC) https://grnh.se/pma2hbgx5us
Sr SWE, Traffic (SF) https://grnh.se/tdpez89u5us
SWE & Sr SWE, Product Experiences (SF/NYC) https://grnh.se/7xs79ny75us // https://grnh.se/lhr3w2lz5us
Product Operations Manager (SF) https://grnh.se/0lopbszc5us
Remote: Yes, only remote
Willing to relocate: No
Technologies: Figma, HTML, CSS
Résumé/CV: https://rakeshk.com/files/Resume_Rakesh.pdf
Email: akrakesh[at]gmail.com
Portfolio: https://rakeshk.com
I have 15 years' experience in designing web and mobile applications end-to-end. I specialize in founding design at startups where I own everything design, including product design, design systems, landing pages, brand identities, and marketing design. I love designing complex, data-heavy products.
More about me: https://rakeshk.com/about.html
I'm very passionate about making sure that the users get a great user experience, and that the quality of the products my team ships are top noch.
Areas I've worked in before and still feel passionate about are: Healthcare, Developer Experience / Developer tools, Multimedia, Productivity Software.
I have worked with teams from early startups to FAANG companies, and while I have no preference I'd work best in a role where I can be involved in product and design discussions as well as engineering ones too.
In my free time lately I've been self-hosting in my own homelab via Proxmox, and building passion projects in Elixir.
Please reach out if you think I'd be a great fit for a team you are hiring for!
Remote: Yes (preferred)
Willing to relocate: Yes
Technologies: Rust, C, Linux, OS Internals, Python, PyTorch, Burn, Git
Résumé/CV: https://himwant.org/resume.pdf
Email: akshitgaur [at] proton [dot] me
Website: https://himwant.org
I am a final-year CS undergrad at JNU (graduating 2027) looking for a Systems / Rust Internship for Jan-April 2027, transitioning into a full-time role after graduation.
Recent work: - Redox OS (RSoC 2026): Re-architected the kernel CPU scheduler from Round-Robin to Interleaved DWRR and finally to EEVDF with per-core runqueues and dynamic work-stealing (782x fairness improvement, 82% latency reduction). Featured on Phoronix (https://www.phoronix.com/news/Redox-OS-Goes-EEVDF).
- Rust & ML Infrastructure: Implemented Depth Anything V3 monocular depth estimation in pure Rust using Burn; contributed foundational ONNX ops.
- OS Internals & Writing: Authoring low-level deep dives bridging academic OS theory to real-world microkernel code. Just launched the "OSTEP & Redox" series: https://himwant.org/posts/ostep-redox-intro/
I am primarily interested in teams working on low-level infrastructure, operating systems, hypervisors/virtualization, database storage engines, or high-performance distributed systems.
Remote: Open to remote, hybrid or on-site
Willing to relocate: Yes
Technologies: Technologies: JavaScript, TypeScript, Python, Ruby, React, AWS (CDK), Docker, PostgreSQL, MongoDB, Pinecone, LLM/agentic workflows
Résumé/CV: https://cdn.jsdelivr.net/gh/ianlewisuk1/ianlewisresume@main/...
Email: ianlewisuk1@gmail.com
Full-stack engineer with experience across the above technologies and more, looking for the opportunity to work with energized, excited teams, passionate about what they do. Recent work includes developing a cardinality-controlling backend system for an observability platform, as well as deploying an end-to-end fantasy sports mobile application through the App Store.
I'm not considering full time roles at this time, only contract work. Thanks.
Remote: Yes (hybrid ok)
Willing to relocate: No
Technologies: TouchDesigner, Cables.gl, WebGL/GLSL, Figma Plugin API, TypeScript, React, Node.js, Bun, MCP servers, Claude Code, OpenChamber, opencode, Codex
Email: hn@somaticbits.com
Creative technologist. Two sides: AI tooling and automation for teams, and generative/immersive art. Same instinct either way - prototype fast, make the abstract real.
Recent work:
- Forward-deployed engineer at a large hospitality/marketplace company. Built automation that removed [X hours/week] of manual work.
- Slides and websites generated straight from existing Figma components. Design system in, finished artifact out. Saved a lot of copy-paste
- Currently writing a custom MCP server for a calisthenics training app, so workouts and progress are coached and queried by an agent rather than through the UI.
Looking for full-time or contract work where AI tooling meets creative tech. Teams building something new rather than iterating on what's there.
AI & automation: https://www.davidpettersson.com
Generative & immersive art: https://www.somaticbits.com
CV: https://www.somaticbits.com/David_Pettersson_Senior_Creative...
I get companies set up for e-invoicing and e-reporting. SME for ViDA/PEPPOL/SAF-T, vendor selection, RFP strategy, and systems integration. Innovation and Generalist: negative capability, divergent thinking, convergent action, influential communication. Looking for senior RevOps, Product Innovation, or chief-of-staff roles in London or thereabouts.
Recent technical write-up and open-source project I made that reached #1 on HackerNews: https://ptx2.net/posts/unbricking-a-bike-with-a-raspberry-pi
Some things I've designed/built/launched/maintained professionally: high-traffic web frontend/backends, realtime interactive graphics apps, data visualizations, computer vision apps, firmware, reverse engineering, video/image processing, apis, api integrations (payments/social/data), distributed systems, linux sysadmin, refactoring/maintaining legacy systems, managing small engineering teams, remote work, customer facing work.
Some areas of interest: the outdoors, health and fitness, art, music, environment, games, human computer interaction, product design, ui/ux, embedded/iot devices, privacy, security, networking, optimization, unusual companies/products, web, linux.
Looking for interesting software engineer or tech co-founder/director/advisor opportunities!
I maintain Harnix (https://github.com/anakotai/harnix), an open-source scanner for whether a repo is ready for agent workflows. I dogfood the same idea every day: fetch, filter in code, model judges fit, state gets committed.
Otherwise, I'm a fractional CTO: Anakot.AI (compliance automation in Southeast Asia), Aksarapak/Dalo (AI learning, web + iOS), EdTech Connect (CTO through a $2M valuation). Used to write for SitePoint (Docker, DevOps, data). English, Spanish, Portuguese.
Looking for a team that wants agents in the product, with a paper trail. Available now. I overlap EU afternoons and US mornings.
Remote: Yes
Relocation: Case-by-case
Hi HN, I'm an engineer and data professional interested in team-building, consulting and architecting data pipelines. At Edmunds.com, I worked on a fairly successful ad-tech product and my team bootstrapped a data pipeline using Spark, Databricks, and microservices built with Java, Python, and Scala.
At ATTN:, I re-built an ETL Kubernetes stack, including data loaders and extractors that handle >10,000 API payload extractions daily. I created SOPs for managing data interoperability with Facebook Marketing, Facebook Graph, Instagram Graph, Google DFP, Salesforce, etc.
More recently, I was the CTO and co-founder of a crypto gaming startup. We raised over $6M and I was in charge of building out a team of over a dozen remote engineers and designers, with a breadth of experience ranging from Citibank, to Goldman Sachs, to Microsoft. I moved on, but retain significant equity and a board seat.
I am also a minority owner of a coffee shop in northern Spain. That I'm a top-tier developer goes without saying. I'm interested in flexing my consulting muscle and can help with best practices, architecture, and hiring.
Would love to connect even if it's just for networking!
Website: https://dvt.name/ (under construction)
GitHub: https://github.com/dvx
Email: [d]@[dvt].[name]
Remote: preferred (hybrid ok)
Willing to relocate: no
Technologies: TypeScript/JavaScript, Node.js, Kotlin, Ruby on Rails, GraphQL/REST, Kafka, Kubernetes, AWS, GCP, Docker, React
Résumé/CV: tinyurl.com/tnjbsyud
Email: see resume
I'm a senior full-stack software engineer who builds scalable, production-ready systems, products, and developer experiences. I've worked across e-commerce, legal tech, technology serving small and medium-sized businesses, and marketing platforms, with a focus on infrastructure, reliability, and developer tooling.
I'm looking for a flexible role with a healthy work-life balance and a strong, collaborative engineering culture. I value teams that care about balancing quality with speed, thoughtful technical decision-making, and continuous improvement.
Remote: Yes
Willing to relocate: Depends. Maybe.
Technologies: Python, AI/LLM/MCP, Grafana, N8n, GitHub Workflows, Okta, Terraform, some Ruby and some Crystal
Résumé/CV: https://hxii.github.io or https://0xff.nu
Email: cv [at] glushak.net
Recently picked up model benchmarking and training for fun (and personal profit) – https://0xff.nu/hexbench
I spent a decade in support, slowly automating myself out of every role until the tools I built became more valuable than the tickets I closed (at least to me). Now I write Python, creating internal tooling, LLM integrations and automations.
Current projects: hex (https://0xff.nu/hex), an AI executive assistant that manages my calendar, tasks, and Obsidian vault because my ADHD brain certainly won't, and sixwhyo (https://6yo.dev), a code reviewer powered by a 6-year-old's logic. Now also exploring iOS development to create an app I’ve been dreaming about.
I like simple and robust solutions over overly clever architecture, and am looking for a remote-first engineering role, not a support role with "engineer" in the title.
Also open to do custom software development!
Location: Medellín, Colombia Remote: Yes! Willing to relocate: No
Technologies: * System engineer: Rust · query engines · programming languages · VMs · transactions · storage · performance optimization · data modeling · ERPs · Business Apps
* Databases: RDBMs · PostgreSQL · SQL Server · SQLite · SpacetimeDB
* Backend: Business logic · APIs creation · integration · orchestration · ETLs
* Additional: Python, F#, Swift, Web assembly, Git, Jujutsu, macOS, Linux (NixOS, Debian), Windows
* ERP/eCommerce building from scratch
Résumé/CV: https://www.linkedin.com/in/mario-alejandro-montoya-cortés-6... Email: mamcx@elmalabarista.com https://www.elmalabarista.com
Software engineer with 30+ years building production-ready business applications and 3+ years as a core database engineer building high-performance RDBMs.
Founder and principal engineer of small ISV with a long track record of owning complex systems end-to-end, from low-level design to production reliability.
Driven to learn new domains quickly and choose the simplest effective architecture, tools and paradigms for each problem.
Remote: Yes, Hybrid OK in Winnipeg
Willing to relocate: Only to Vancouver Island
Technologies: Golang, C#, ASP.NET Core, TypeScript/JavaScript, Vue.js, React, PHP/Laravel, Python, HTML5/CSS, jQuery, Node.js/Express, PostgreSQL, MySQL, MongoDB, Entity Framework/Eloquent, RESTful APIs/Microservices, Docker/Swarm, Kubernetes, Nginx/Apache, Git/SVN, CI/CD, Linux
Résumé/CV/Codeberg/Linkedin: See links on https://www.dsaul.ca/
Email: hn2026 at my website's domain
Hello HN, my name is Dan Saul, I am a full-stack software developer with 10+ years building and shipping real products across SaaS, telecom, and business automation. I like practical work: clean maintainable code, reliable systems, and solving the actual problem in front of me.
How I work: I take ownership, do the boring stuff right (tests, reviews, docs, SDLC), and ship. I participate in Agile (Scrum/Kanban) without the theatre, mentor and enjoy being mentored, and contribute to architecture and standards. I love coding by hand but use agent-driven development pragmatically: agents as junior devs where every output is reviewed and tested, not auto-merged.
What I'm looking for: Full-stack or backend-leaning product teams where I can stay hands-on, help set technical direction, and ship software real users rely on. SaaS, internal tools, telecom/comms, or anything practical. I do my best work on small-to-medium teams that value pragmatism, accountability, and continuous improvement over buzzwords.
Remote: Yes
Willing to relocate: No
Technologies: Ruby on Rails, React, React Native, Expo, Flutter, Node.js/Express, TypeScript, Next.js, PostgreSQL, MySQL, Supabase, Docker, AWS, multi-tenant architecture, Claude Code
Résumé/CV: https://drive.google.com/file/d/1LQZid459GgfTM_a_27Akrcl2shk...
Email: markmohr15@gmail.com
Senior engineer, 10 years, mostly Rails and React with the last year in Flutter and Node on consumer mobile. I own delivery end to end — client requirements through architecture, release, and iteration — and I mentor the developers around me.
Currently running a multi-tenant consumer mobile platform live in three markets, 90+ business partners and 1,500+ users. Second and third deployments needed no rearchitecture.
Also doing a lot of work on codebases built fast with AI tooling: reading them, finding what's actually broken, and telling the owner what's salvageable. Recent example was a Supabase app where parts of the site weren't gated at all and the permission model let anyone escalate their own access via the API.
Open to full-time or contract.
Willing to relocate: No
Technologies: Ruby, Ruby on Rails, PostgreSQL, Sidekiq/Redis, Hotwire, JavaScript, TypeScript, React, GraphQL/REST/Grape, RSpec/Capybara, Python/FastAPI, PyTorch/Hugging Face, LLM APIs (OpenAI, Anthropic), Docker, AWS/DigitalOcean
Resume/CV: https://katatsu12.github.io/
Email: den.zubrytskyi@gmail.com
Remote: Yes
Willing to relocate: Yes
Technologies: JavaScript, TypeScript, Cloudflare Workers, LLM integration, React.
Resume/CV: kol3x.com
Е-mаil: hn-september at kol3x dot com
I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers.
We worked with LLMs deeply, especially in code generation research. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task. https://dn.institute/research/ai/specgem/
Last month I released a self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc
Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript/TypeScript, practical LLM integration, React.
CV, LinkedIn, and GitHub are also linked at https://kol3x.com
Remote: Yes — open to international remote opportunities where legally and operationally possible.
Willing to relocate: Yes — open to relocation with visa sponsorship.
Technologies: MQL4/MQL5, MetaTrader, Python, algorithmic trading systems, trading APIs, WebSocket, execution systems, risk management, backtesting, forward/live validation, financial automation.
Résumé/CV: https://drive.google.com/file/d/1UG3GNrmMzF5GJ5azr-OGUE55rKw...
GitHub: https://github.com/Fintor-AI
LinkedIn: https://www.linkedin.com/in/hossein-asgari-3b652416a/
Email: hosseinassgari93@gmail.com
Trading Systems & Automation Engineer with hands-on experience designing, testing, and operating algorithmic trading systems.
My work focuses on signal/risk/execution architecture, MQL4/MQL5 systems, Python automation, trading APIs, backtest-to-live validation, execution diagnostics, and failure analysis.
I’m especially interested in Quant Developer, Trading Systems Engineer, Financial Systems Engineer, and Python automation roles where I can own real systems end-to-end.
Open to remote roles and relocation opportunities.
Want to help out healthcare providers? Clinicians using our software are already saving hours a day and loving their job again. We are building Axo to make the software layer as invisible and ambient as possible, letting clinicians direct 100% of their attention to patients rather than screens.
Our first market is orthotics and prosthetics (O&P), the field designing braces and artificial limbs that restore human mobility and underserved by the tech sector. You’ll join as a founding engineer working directly with myself (former Google SWE) and my co-founder (one of the US's best known O&P clinicians), and small engineering team we want to grow.
You will own massive surfaces end-to-end, making foundational architectural decisions for our entire platform. We've got a massive pipeline ahead and need your help to build it. And we participate in humanitarian missions to expand prosthetic access in critical parts of the world like Ukraine and Sri Lanka.
- The Stack: C#/.NET, gRPC, SolidJS/TypeScript, and PostgreSQL, built with strict domain-driven design and rigorous testing.
- How we work: Flexibility! Love AI-assisted speed coding? Go for it. Prefer to write by hand because your mental model is faster than prompting? Perfect. We only care about delivering safely and quickly.
- Requirements: Senior-level depth with production systems, a strong habit of domain modeling, and a philosophy that defaults to simplicity. Strong UI/UX experience with an obsession for user simplicity is a must.
To apply, email me directly at jlyman@axoventures.co with a short story about a favorite technical challenge you solved end-to-end. Please put "HN" in the subject line! MUST be in Texas.
My most recent role was Principal Engineer at HungerRush where I delivered a number of high impact projects, including most recently their next-gen conversational voice AI ordering platform (OrderAI).
Remote: OK
Willing to relocate: No
Technologies: UX Design, Product Design, Design Systems, Information Architecture, UX Research, Claude Code, Figma, Replit, HTML/CSS/JS
Résumé/CV: https://iamstephenliu.com/StephenLiuResume.pdf
Email: hireme@iamstephenliu.com
Product Designer with 11+ years of experience in design, research, and some front-end. I've worked on design systems, AI-powered dashboards, fintech, fleet mobility platforms, B2B and B2B2C SaaS, and standards development. Most recently I was working on skills to facilitate prototyping spec-accurate designs and flows for ecommerce, as well as another skill to enable client-facing teams to create full prototypes for pre-sales demos. I've worked in both startups and large corporations, and I'm interested in opportunities where I can learn and build on top of designing for complex systems.
Remote: Yes
Willing to relocate: Yes
Technologies: Languages & Databases • JavaScript, TypeScript, Java, Golang • PostgreSQL, MongoDB Frameworks & Libraries • React.js, Next.js, Express.js, Koa.js • MUI, Tailwind CSS, CSS-in-JS • TanStack Query, Redux, Prisma, Supabase • Highcharts, ECharts, AG Grid • Jest, Cypress DevOps & Tools • Docker, Git, GitHub Actions, CircleCI • Datadog, Sentry Workflow Tools • WebStorm, Figma, CleanShot X • Slack, Jira, Linear, Productive Other • Progressive Web Apps (PWA) • npm, Yarn, pnpm
Resume/CV: https://www.linkedin.com/in/yadong-zhang-48a474154/
Website: https://zhyd1997.dev
Email:zhyd007 [at] gmail <dot> com
I'm located in Madison, WI, happy to work with remote founders or if you're close enough meet in person.
Have been a 2x founding engineer TrustedFor (YC19) and DigiBuild (YC22) and also cofounded Politech/Promota AI (though I left there in 2024 and they've pivoted from original mission.) I'm currently building Worldwide Studios (worldwide-studios.org) and we're a bootstrapped non-profit so been doing client work to pay the bills.
At startups I've been a jack of all trades so my background is as an engineer (later "tech lead manager" type) but I've helped with content creation, team building and all of the things. Not looking for full time ops or to become an employee but I love working with early stage founders and startups and always happy to share my knowledge or just roll up my sleeves and help get over the hill.
You can see my linkedin https://www.linkedin.com/in/dylaneholland/
Github http://github.com/DylanEHolland
You can contact me directly dylaneholland [at] gmail.com or here's my calendly https://calendly.com/dylaneholland/coach-dylan
I'm also on workatastartup though not sure how to share a public url
Looking for IC work: AI content editing, documentation, content design, prompt or evaluation work inside a product team. Code: https://github.com/iennahen/brief-to-geo
Seeking roles focusing on FDE, post-training, or full-stack AI/ML systems engineering.
Remote: Yes — remote only (~EU hours or async)
Willing to relocate: No
Technologies: Python, PostgreSQL, FastAPI; LLMs & embeddings, semantic search, self-hosted open-weights models (on-prem, offline); deterministic data/ML pipelines; PDF/document extraction, OCR, IoT, time-series, logs → decision-useful information
Résumé/CV: https://walat.eu/cv/ | https://linkedin.com/in/dariusz-walat
Email: dariusz@walat.eu
Trustworthy output from untrustworthy data. I build systems that catch what's silently wrong — a dead sensor nobody noticed, contradictory records, a garbled scan, a confidently-wrong model — so it surfaces as a flag today, not a six-month catastrophe.
I use LLMs where they earn their place (development, meaning, embeddings, plain-language access to jargon-locked data) and keep them out of decisions and the data flow, which stay deterministic and verifiable. An LLM can help you find the answer; it can't be the answer.
Senior systems engineer, multiple AI cycles of judgment on what survives the hype and where it breaks. Currently turning messy Polish legal PDFs into a correctness-checked graph — the hard part is the verification, not the AI. Previously I built a legislative-notification service that ran autonomously in production for over three years before I retired it. I've written about where AI coding agents actually fail and why verification is the real work: https://walat.eu
Best fit when: correctness matters, the data is real-world-messy, and you want someone who names what doesn't work and why.
- Specialties in reliability, automation, and reverse engineering.
- Small-scale to global-scale infrastructure, networking, distributed systems, and software.
- Skillful at building infrastructure and services from scratch.
- Excel at making flakey services solid as a rock.
- Experience with PoP buildout and maintenance for global networks and heavy workloads.
- Even a little robotics and some fabrication on the side.
Lets talk, I want to work hard to make you and your systems happy!
Remote: Yes
Onsite/Hybrid: Yes, and I'd be willing to travel periodically, but Vancouver will always be my base
Willing to Relocate: No
Contract: Yes, incorporated, but would consider full-time employment
Languages/Frameworks (in order of experiece: JavaScript, TypeScript, Node.js, Vue, Vuetify, PrimeVue, MongoDB/Mongoose, Temporal.io, Docker, React <19 (classes and hooks), Angular.js <= 1.8, Swift, SwiftUI, Python
Tooling: Vite, Turbopack, Webpack, Github Actions, Docker, Jira, ESLint, testing-library, Jest
Résumé/CV: https://drive.google.com/file/d/1sioiJJt6z6H_slWemd_zg34ISMg...
Email: luke (at) luketully (dot) ca
Previously: As a full-stack engineer, I most recently worked in a hybrid capacity on the Vancouver team at Flagler Health. Built the PDF billing report pipeline, and was responsible for migrating a majority of our Node.js job queue to Temporal.io. I regularly paired with juniors in a mentorship capacity, and happy to do so again.
Currently: Exploring local-llms, touching grass
Goal: I'm based out of Vancouver, but happy to discuss different remote arrangements globally or hybrid in Vancouver, Canada. I enjoy working on distributed computing workflows, sticky legacy problems, improving UX and DX, concurrency optimizations, and overall making useful products with a good team.
Remote: Yes
Willing to relocate: No
Technologies: TypeScript, React, Next.js, Node.js, Python, PostgreSQL, Supabase, Docker, CRDTs, distributed task queues, CI/CD, agentic AI workflows
Résumé/CV: barelybrand.co/work
Email: jesse :at: barelybrand.co
Senior engineer, 6 years. I mostly get hired for these things: rebuilding systems nobody wants to touch, and making AI-assisted development safe enough to actually ship.
Also, I'm pretty funny.
Recent work:
- Zero-downtime migration engine off a 10-year-old document store. 206,011 users moved, DB cost went from $1,600/mo to $80/mo.
- Risk-tiered review pipeline with an AI reviewer holding merge authority; the team, including a non-engineer cofounder, shipped 600+ PRs through it.
- CPQ/pricing platform for a manufacturer: pricing engine, configuration resolver, CAD/ERP integration, led two engineers.
Available immediately, contract or full-time.
github.com/jesse-mw linkedin.com/in/jesse--warren
Happy Tuesday!
Remote: Yes
Willing to relocate: Possibly, for the right opportunity
Technologies: TypeScript, JavaScript, React, Node.js, Rust, Tauri, Git, GitHub Actions, HTML/CSS, AI-assisted development, manual QA/testing
Résumé/CV: https://hsr.gg/
Email: haser88@gmail.com
I'm looking for a remote role in software development, AI-assisted development / developer tooling, QA, or a junior technical/product role. Or junior SEO.
I build and maintain open-source and web projects, including Mouzi, a privacy-first cross-platform desktop application built with Rust, Tauri, React and TypeScript. I have hands-on experience with shipping releases, CI/CD, debugging, user-reported issues, cross-platform testing and maintaining real software used by others.
I'm especially interested in teams working with AI coding tools, developer productivity, automation, web applications or open-source software.
GitHub: https://github.com/hsr88
Remote: Yes
Willing to relocate: Yes
Technologies: TypeScript, JavaScript, Python, PHP, React, React Native, Svelte, Express, Bun, Angular, GraphQL, D3.js, visx, Backbone, jQuery, LangChain, Mastra, FastAPI, pandas, scikit-learn, Optuna, Chrome Extension API, Playwright, Electron, Stagehand, browser-use, Web Audio API, WebRTC, WebSockets, PostgreSQL, TimescaleDB, MySQL, MongoDB, Redis, AWS, EC2, S3, Lambda, Docker, Git, LLM agent design, agent evaluation, reinforcement learning, browser automation, MCP
Résumé/CV: Ask via email
Email: [HN username]@gmail.com
Portfolio of data visualizations:
| https://adamsohn.com/grammar/
| https://adamsohn.com/reasoning-grid/
| https://adamsohn.com/separate/
| https://adamsohn.com/clap/
| https://adamsohn.com/algoviz/
I bring 13 years of full-stack UI development experience alongside deep expertise in browser automation and agents, which I've been engineering since 2018. This blend makes me particularly strong in QA automation engineering and complex frontend architecture.
Notable projects include event ticket inventory management and a drag-and-drop CRM email builder for social marketing campaigns. As a consultant and full-time engineer, I’ve led 0-to-1 product development across streaming, real estate, edtech, marketing, and media. Having worked at companies ranging from a 130-person AI organization to a scrappy 7-person team, I thrive most in fast-paced, high-ownership environments.
| https://github.com/adam-s
| https://adamsohn.com
Remote: primarily, willing to travel to meet and collaborate
Willing to relocate: no
Technologies: Python, Go, Kotlin, Java, Swift, AWS, GCP, Terraform, PostgreSQL, Redis
Résumé/CV: https://robinsiep.com/experience
Email: contact [at] robinsiep.com
I’m a senior software engineer focused on system design and used to working with teams that are starting to strain under growth, complexity, or delivery pressure.
Over the last decade I’ve been working with startups and established companies, often in roles with end-to-end technical responsibility: from system design through implementation and production operation.
Recent work includes leading the architecture, implementation, and operational ownership of a distributed platform for venture capital workflows, as well as building and maintaining a survey fulfillment system. Both engagements included mentoring and coordinating engineers alongside delivery. More details can be found at https://robinsiep.com.
I'm currently interested in finding a more permanent role, but remain available for contract work in the meantime.
Remote: Yes - but am open to both hybrid and in-office too.
Willing to relocate: Yes
Technologies: Python, FastAPI, Node.js, Express, PostgreSQL, MongoDB, REST APIs, JavaScript, TypeScript, React, HTML/CSS, Pytest, AWS, Terraform, Docker, Nginx, DigitalOcean, Linux, Git/GitHub, Postman, PyPI
Résumé/CV: https://www.linkedin.com/in/riz-s/
Email: rizwansyed876@gmail.com
Co-creator of Mantis (https://mantis-llm-gateway.github.io), an open-source, self-hosted Large Language Model (LLM) gateway that provides a single interface for interacting with multiple LLMs. I was particularly involved with building out the end-to-end asynchronous token streaming pipeline, writing and publishing the SDK on PyPi and automating the deployment workflow using Terraform.
Remote: Yes
Willing to relocate: No
Technologies: AI Agentic Workflow Development, Multi-Agent Systems, OpenAI, Claude, AI Integrations, LangChain, LangGraph, HIPAA Implementation, Docker, Kubernetes, Terraform, Full-Stack Development (Next.js, React, Node.js - ExpressJS, NestJS, Fastify, Python - FastAPI, Django, TanStack, JavaScript, TypeScript, AWS, Supabase
Résumé/CV: https://drive.google.com/file/d/1-KQ1vbZ4Cy2z5r49cc93I2unO8s...
Email: justinruiz.co@protonmail.com
Head of People / People and Talent leader with 15+ years of experience across startups and larger technology companies. I have served as the first/only People leader at venture backed startups, partnering directly with founders and executive teams across hiring, organizational design, performance, compensation, People Ops, employee relations and scaling through significant change.
I particularly enjoy the 0→1 and growth stage work, figuring out what the business needs, building the right People foundations without unnecessary bureaucracy and staying hands on enough to actually get things done.
Most recently, I founded and built an AI powered consumer startup, which has given me firsthand experience on the other side of the founder/People partnership. I am continuing to build it in my own time while looking for my next Head of People opportunity.
Open to full-time Head of People / VP People roles as well as select fractional opportunities.
Remote: Yes
Willing to relocate: Yes, for the right role
Technologies: Java, Spring Boot, Spring Security, Hibernate/JPA, PostgreSQL, Oracle, Flyway, Docker, Keycloak/OAuth2/OIDC, JUnit, GitLab CI. Also Python/Flask, React, TypeScript.
Résumé/CV: https://juanschezmor.github.io
Email: juanschezmor@gmail.com
Backend developer, 2.5 years, currently at a consultancy in Spain and looking to move to a product company.
Most of my work is on a Java 21 / Spring Boot platform replacing three legacy government systems, where I designed the access control layer: a Spring Security permission evaluator that resolves permissions at runtime from the database instead of hardcoded roles. I also migrated 100+ Oracle packages, tables and functions to PostgreSQL with one other developer, consolidating two legacy databases behind Flyway, and cleared 30+ batches of slow-query and missing-index findings in production.
Before that I built a Flask/PostGIS backend serving spatial queries over meteorological data, and a RAG pipeline for semantic analysis of corporate documents.
Spanish citizen, so no visa needed anywhere in the EU. English C1.
Location: US EST
Remote: Only
Technologies: IAM, VPC, Cloudwatch, EC2/ASG/ELB, Lambda, API Gateway, RDS, Redshift, DynamoDB, CodeDeploy, Cognito, Athena, S3, Cloudfront, Kinesis, SQS, SNS, IoT Core, Sagemaker, ElastiCache, MediaConvert
Email: hn@cldcntrl.com
Remote: yes, through direct contractor or EOR arrangements
Willing to relocate: yes
Technologies: TypeScript, Node.js, Python, AWS, Redis, BullMQ, MongoDB/DocumentDB, React
Résumé/CV: https://drive.google.com/file/d/1Pz6m7SLck_nagkCO3DJI6RLyrAE...
Email: me@ryanmac.dev
I am a backend engineer with 5+ years of experience building systems across healthcare, education, and asset management.
Remote: Yes (required)
Willing to relocate: No
Technologies: TypeScript, Python, Django, Vue, Nuxt, React
Résumé/CV: https://zgajner.com/work
GitHub: https://github.com/mzgajner
Email: work@zgajner.com
Full-stack web developer with 20 years of experience, currently working at a startup where I was employee #2.
My strongest area of expertise, if I had to point one out, is frontend. I've built complex multiscreen dashboards, mobile games, IPTV set-top box interfaces, you name it. Consistent and performant UIs are my jam.
I enjoy working with people, I've happily and successfully led teams, conducted dozens of technical interviews and managed cross-team initiatives. That said, I'm a deeply technical person at heart, so I'm not looking for a full-time management position.
Over the past year I've been working with LLMs extensively, building an AI asset management product at my current employer, which required diving into coding harness internals and shipping features supported by LLMs. Our development processes started relying on LLMs as well, so I'm well prepared to join a team that's already heavy on AI or help it make that transition.
My preferred environment is one where I get a seat at the table early so I can own a feature from conception to production. I'm used to low overhead, frequent exchanges with product people and daily deploys. If you're not there yet, I can help you get there.
Remote: Yes (preferred)
Willing to relocate: For the right role, though I prefer to remain in the PNW
Seeking: Platform / Infrastructure / SRE / DevOps; also HPC, research infrastructure, and scientific computing roles
Technologies:
Resume/CV: https://jbarnes.dev/resumeGitHub: https://github.com/jbarnes-dev
Email: jonathan [at] jbarnes.dev
LinkedIn: https://www.linkedin.com/in/barnesjonathane/
I'm a PhD physicist turned infrastructure engineer. I maintain a 40+ node Linux fleet for an open-source blockchain project; covering automation, monitoring, deployments, and public services. I also run a small web-hosting business and have built cloud automation for bare-metal onboarding and Kubernetes-hosted VMs at a startup.
My earlier work was in computational biophysics, ML, and HPC.
I'm looking for a hands-on platform, infrastructure, SRE, or DevOps role, ideally on a small, collaborative team. I'm also interested in research or ML infrastructure roles where my scientific background would be useful. Having worked at startups in the past, I'm fine wearing multiple hats and enjoy the variety.
Remote: Yes
Willing to relocate: Maybe (within EU)
Technologies: Coding agents :) plus everything they type with me: TypeScript, React / React Native, Vue, Python, Supabase, Figma, Storybook.
Résumé/CV: https://notes.pixeletes.com/cv/
Email: pixeletes@proton.me
I'm Victor, a product designer who writes production code, fifteen years in. I can carry the backend and I have led teams, but I engage most with the user-facing parts. I'm most useful where design and build are the same job: 0-to-1 products.
Recent side work: LLM Party (https://llmparty.pixeletes.com), a set of LLM experiments, and SketchJam, a multiplayer creative-coding party game.
Notes on how I work: https://notes.pixeletes.com
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Node.js, TypeScript, GraphQL, REST, PostgreSQL, ClickHouse, Kafka, Redis, AWS, Kubernetes, Terraform, OpenTelemetry, Vue.js, React
Résumé/CV: https://thaler.dev/thaler.cv.pdf
Email: dmitry@thaler.dev
Full-stack engineer with a backend focus and 15+ years of experience. Most of my work is at the integration layer: pulling a dozen awkward external systems into one GraphQL or REST API that a product team can rely on. This has included payment gateways and government services at a national lottery, multi-protocol network telemetry, and billions of retail sales and inventory rows.
I own the infrastructure under what I build. On one route-planning system, that meant dynamic scaling that spun up short-lived machines at peak while keeping the cloud bill flat.
EU-based B2B contractor; no sponsorship required. Experienced working remotely with US companies via Deel and Globalization Partners. Available with 7 days’ notice.
Remote: Yes, or hybrid if nearby
Willing to relocate: Possibly
Technologies: Python, Ruby, C, C++, C#, JavaScript, TypeScript, PowerShell, Flask, SQL, PostGIS, Shapely, Unity, Unreal Engine, multiple assembly/machine languages, Windows user code and kernel drivers, Google Maps and other map APIs, geographic and airspace data
Résumé/CV: https://www.geary.com/resume.html or https://www.geary.com/resume.pdf and https://www.linkedin.com/in/michaelgeary/
Email: mike@geary.com
Hi, I'm Michael Geary. I've programmed in many languages and environments over the years. Some of my current interests are:
• Developer experience. I love helping my fellow developers solve problems, and building tools to make their jobs easier and more enjoyable.
• Aviation and geographic data. For example, airspace and obstacle data importers for Wing; election results and voter information maps for Google; many interactive maps for other companies.
• Hardware interfacing. In a way, I am a "full stack" developer, but my stack may involve a front end to a piece of hardware rather than the cloud. I first got into programming via ham radio, so RF hardware remains an interest.
• Designing and building APIs. Too often an API is designed by exposing the internals of whatever system provides the API. My philosophy is the opposite: start with the apps. I like to build a series of sample apps before starting on the API. This way I can imagine what API will make those apps and others like them easy to build.
• Talk with users! I don't like to sit in a back room cranking out code. I want to make sure it's the right code for what my users need, and that it's easy to maintain and improve as we learn more about what they want.
• Technical and general interest writing.
Open to full time or contract.
I look forward to talking with you!
Remote: Preferred
Willing to relocate: Maybe
Expert backend developer primarily focused on data engineering, mission critical/low latency/highly available systems, and AWS (certs: https://www.credly.com/users/jon-north.ad78f0c8). Happy to deal with greenfield or legacy or any mix of the two. I learn new things extremely quickly.
I prefer long term contract work, though I’ll help you with smaller things as well. W2 employment is a possibility if the fit is right. Whatever you’re doing with AI is also fine by me, and I’ll lead/adapt as appropriate.
Technologies: Python, C/C#/C++, SQL, NoSQL, Go, Golang, Docker, Git, Linux/Windows, Bash, Kafka, Redpanda, PySpark, Spark, AWS, Azure, GCP, Terraform, Kubernetes, Redis, Postgres, MySQL, SQL Server, SAP HANA, LDAP, Active Directory, OAuth2
Resume/CV: www.adiuvat-consulting.com
Email: jon.north@adiuvat-consulting.com
SEEKING CONTRACT WORK | Remote (CET timezone) | Senior Product Designer / Design Engineer
·
Location: EU (Italy, CET timezone)
Remote: Yes, async-comfortable
Relocation: No
Tech: Figma + MCP, Claude Code + custom skills, HTML/CSS, design systems, WCAG
Résumé/CV: https://www.raigo.design/cv_raigo-lilleberg.pdf
Portfolio: https://raigo.design
Email: hi@raigo.design
·
Focus: the first mile of design maturity for small B2B software teams. Think UX/UI consistency and brand alignment across the product, using LLM-ready design systems and improved design-to-code workflows.
Most recently: design partner to a funded AI-native B2B startup. Owning the design end-to-end, helped their small team build their new agentic product layer from first direction to public launch in six weeks. Before that, helped a fintech B2C company set up their design function and build their customer-facing product - case study: https://www.raigo.design/case-studies/my-jiwambe
Looking for long-term engagements with a product team, to meaningfully level up design maturity. Available now. Also open to short, scoped sprints. From $450/day, depending on engagement shape.
Ask more: hi@raigo.design
·
Portfolio: https://raigo.design
GitHub: https://github.com/raigolilleberg
LinkedIn: https://www.linkedin.com/in/raigolilleberg
——————————————
Remote: Yes
Willing to relocate: No
AI Product Engineering: full-stack AI systems, LangGraph/Chain, RAG
Technical: TypeScript, Node.js, Python, React/Vue, PostgreSQL, vector DBs, NoSQL, AWS, GCP
Recent work includes:
• multilingual AI product (26 languages) for search automation
• AI-assisted incident intelligence platform for enterprise security teams
• multi-tenant account management platform (Life Alert providers)
• semantic video search using multimodal embeddings
• multi-agent systems integrating LLMs with internal data, docs, and APIs
Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production.
Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+.
LinkedIn: https://www.linkedin.com/in/jeff-borden/
Email: jborden13 [@t] gmail [dot] com
* Open to full-time, fractional, or advisory roles.
I'm co-founder & ceo btw
Software Development Engineer with 2+ years of experience building carrier-grade, low-latency C++ systems for a SIP Session Border Controller (SBC) at Ribbon Communications.
• Implemented ETSI-LI lawful interception subsystem across X2/X3 interfaces with ASN.1/BER encoding over secure TCP/TLS, engineering delivery to near-zero packet loss across thousands of concurrent SIP sessions. • Built an in-house Agentic AI Developer Assistant (LLM / RAG / MCP) for autonomous codebase feature development and onboarding, adopted org-wide. • Won Ribbon's internal Hackathon for building "CCP-SCP" (Compressed Chunked Parallel file transfer tool in Bash), cutting transfer times by ~90%. • Strong algorithmic foundation with 900+ LeetCode problems solved.
Seeking full-time roles in Systems Software Engineering, Low-Latency / Distributed Systems, Telecom/Networking, or AI Developer Tooling.
Remote: yes
Willing to relocate: no
Technologies: Java, Linux, HBase, AWS, Kubernetes, C, Rust
Résumé/CV: see my website at https://cconnell.omg.lol/
Email: charles@charlesconnell.com
I am an expert in distributed systems with a focus on performance optimization. My website linked above has examples of my work.
What I am good for: quick turnarounds on existing apps (crashes, Gradle and build errors, Play Store rejections - usually 24-48h), full Flutter apps shipped to both stores, and website-to-app conversions.
Code you can read before hiring me: I published an open-source photo and video editing SDK for Android on GitHub (https://github.com/Raxit0948), and I just built a free interactive Play Store pre-submission checklist - https://raxit0948.github.io/playstore-preflight.html - 14 real rejection causes with the fix under each one. Happy to start with a small paid task so we can both see how the other works.
Embedded HMI engineer. For 5 years I was the sole software owner of ~12 operator dashboards that shipped to production on heavy agricultural machinery for five OEMs: architecture, C firmware, J1939 modeling at 250 kbps, the entire graphics layer, bench and field validation, and support. Two things I'm proud of: integrating an electronic Cummins engine and a DANA transmission so the machine was commanded from our own HMI/VCU with no OEM display, and replacing European OEM valve controllers with an in-house CAN + HMI module, which cut per-unit cost and license fees.
I also built VisionUI, my own desktop UI framework: custom 2D engine, WYSIWYG editor, licensing and cloud backend, with performance-critical parts in Rust.
Looking for embedded or industrial HMI, Qt/QML, machine and instrumentation software, or graphics-heavy desktop apps. Full-time or contract. I'm used to owning a product end to end.
Remote: Yes
Willing to relocate: No
Technologies: Rust, Golang, Python (Django, Scikit-learn, Pandas), PostgreSQL, Clickhouse, Elasticsearch, Docker, GCP.
Résumé/CV: Reach out and I’ll send a detailed version
Email: check my profile
Senior Software Engineer with 11+ years of experience building and scaling distributed systems.
My career has spanned early-stage and high-growth startups, successful acquisitions, and major enterprise research labs.
Remote: Yes, worldwide
Willing to relocate: Prefer remote, but open to the right opportunity
Technologies: TypeScript, React, Next.js, Node.js, Linux, Kubernetes, MongoDB, PostgreSQL, Terraform, CI/CD, AWS
Résumé/CV: Available on request
Portfolio: https://vijay-papanaboina.vercel.app GitHub: https://github.com/Vijay-papanaboina Email: vijaypapanaboina3@gmail.com
Software engineer looking for my first professional role.
Recent projects include VaultDrive (encrypted cloud storage), CareSync (FHIR healthcare platform), Frontbase, and Rust/Linux desktop tooling - including a GTK4/Wayland control center with 100+ GitHub stars.
I like building end-to-end products and working across backend, infrastructure, and Linux. Looking for backend, full-stack, platform/infrastructure, or developer-tooling roles.
Software engineer, 2 years, remote for UK companies. I build the layer that makes AI features safe to ship.
Spotter — https://github.com/anasbayoumy/spotter Evaluation and guardrail layer for LLM agents. Deterministic rules run before any model judge, because a rule can't hallucinate a pass. Every call traced before it executes, so when quality drops you query what changed.
CLOCKLO — https://clocklo.com Multi-tenant workforce SaaS. AI attendance verification, RBAC, Stripe, CI/CD on AWS. Shipped solo, end to end.
SofClinic — https://sofclinic.com Clinic management SaaS, WhatsApp-native — clinics already run on WhatsApp, not another dashboard.
Also built an agents module where the LLM emitted SQL and got back only record IDs, never customer data.
Open to full-time or contract, 4h/day and up.
Remote: Yes
Willing to relocate: No
Technologies: Swift, SwiftUI, Obj-C, Kotlin, C#
Native application development for iOS, Android, Mac and Windows with over a decade of experience. Creating and/or integrating APIs/SDKs. TV/Video applications on all platforms (Apple, Android, Amazon, Roku.) Extensive experience building products and platforms from the ground up.
Email: info at squirrelpointstudios dot com
https://brynet.ca/wallofpizza.html
(Native SegWit): bc1qwe6zv0ezq4gzlea6tw45qhsn5kckheljn0krvt
Shipped C2PA signing across the whole library with Adobe's CAI, cut viewer load time 40%, own our GDPR/TCF and consent work.
Side project: https://weexpire.org, encrypted emergency notes that live entirely in a QR code, nothing stored server-side. ~1k users, no marketing, open source: https://github.com/ciccionamente/WeExpire
Before that I co-founded a marketplace that didn't make it, but taught me most of what I know about product.
Looking for a senior PO/PM role, ideally something technical or in media/adtech. More at https://francescocalabretta.com
Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing.
The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase.
I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to.
On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. I also found a validation-set misuse defect in my own pipeline (early stopping on the test split), quantified its effect across every published figure, and added a pure-noise regression test to pin the corrected result to chance. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020.
Building on my own time: github.com/vslovik/fenix — a local market-signal scanner (Ollama embeddings, sqlite-vec, no API keys) that ranks incoming articles against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to the source chunks. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline, where the model does the extraction and a deterministic engine does the arithmetic.
Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early enough that I'm in the room where the work gets defined. Employment or named-delivery consulting, not disguised staffing.
Remote: Yes (100% Remote only)
Willing to relocate: No
Technologies: LLM Context Architecture, Deterministic Serialization Protocols, Localhost Session Governance, State/Glossary Recovery, System Analysis, Logic Orchestration, Unstructured Data Forensics
GitHub Profile: https://github.com/Recursive-Logic-Core
Résumé/CV: Available upon request via email
Role: AI Systems Analyst & Architect (Concept & Orchestration)
Focus: Designing structural logic frameworks, context architectures, and deterministic control layers to solve core LLM limitations (Context Rot, Lost-in-the-Middle, hallucination loops, Attention Drift). I build fast, AI-orchestrated architectural prototypes and proof-of-concept tools across any tech stack to validate system logic - focusing on high-efficiency architecture, state mechanics, and system design rather than manual syntax-grinding for legacy codebases.
Key Deliverables & Implementations:
- SLAP Protocol (v1.0.0): Deterministic, zero-overhead context serialization & line-based tree-state protocol in O(N) single-pass execution https://github.com/Recursive-Logic-Core/SLAP
- DriftBreak (v1.5.0): Local context governor & state-recovery engine mitigating context drift and VRAM payload overhead on 127.0.0.1 https://github.com/Recursive-Logic-Core/DriftBreak
- Deterministic Context Frameworks: Mitigating attention decay, sycophancy, and mid-context retrieval failure across massive multi-document spans https://github.com/Recursive-Logic-Core/llm-context-architec...
- Advanced Forensic Pattern Recognition: Signal extraction from extreme cryptographic and unstructured informational fragmentation (Rongorongo, Dorabella, Kryptos, Voynich) https://github.com/Recursive-Logic-Core/system-analysis
Terms: German employment contract & benefits (Open to international via EoR / German entity)
Languages: Native German, fluent written English (async-first)
Notice Period: 2 months to end of month
Email: arch_mmm@proton.me
Resume/CV/Experience: working demonstrations available below, anything else available on request.
Email: jim.jdiv@gmail.com
Seeking: applied AI, model behavior, evaluation, interpretability, inspectability, research engineering, synthetic data generation, or adjacent roles
I have spent more than 15 years building my own tools when the available ones were insufficient, and being someone sent when there was a problem, either to figure out what was going on or solve it, or both.
This has been as a generalist across analytics and data science for the operational arm of a large public university w/ steadily expanding domain responsibility, informing senior leadership, at times authoring strategy and policy. (I'm not as faculty, although I developed and taught a course for several years, Language of Propaganda, as an adjunct lecturer: adversarial uses of language examined through informal logic, cognitive blind spots, and case studies.) Separate from this, when a self-funding hobby found unexpected product-market fit I grew it to side-business and shipped 10,000+ items.
My academic background is in applied linguistics, NLP, cognitive science, and analytic philosophy. I might have followed a research or academic path, but by the time I completed my master's degree, I had concluded that the paths then available would not give me much room to pursue the questions I actually cared about.
Those interests are language, mind, cognition, and computation, all now converged in modern AI, I have devoted a lot of time bringing in ideas from traditional linguistics and some other areas and turning them into practical tools.
Recent work, including live demos:
- Cartogemma: A REPL-like environment for LLM inference. Explore generation as a branching process, preview output, inject tokens, rewind, ablate or restore heads, trace a chosen token through the layers. Per-head projections, residual contributions, the ordinary logit lens, and full-layer output side by side. The CMD/REPL bar functions once loaded. https://huggingface.co/spaces/anotheruserishere/Cartogemma
- Tokescope: watch a model in real time during inference, flag tokens to monitor & intervene. Catch something surfacing, before output. Once flagged it either logs it, stops the response with a hard gate, or suppresses using a gram-schmidt projection that takes the direction out of the vector. https://huggingface.co/spaces/anotheruserishere/Tokescope
- Bertographer is similar, runs on encoder models, classification task, ie NLI models, Also with ad-hoc steering https://huggingface.co/spaces/anotheruserishere/Bertographer
- An instrumentation and intervention library for examining model internals during inference & using them to decompose behavior and outputs. It's what provides core tooling for the HF spaces listed. It analyzes derived structure, across layers and heads. These traces then use linear-algebraic, statistical, and overlap methods such as SVD, PCA, correlation analysis, and Jaccard similarity, results of which can then be used to steer a model through targeted activation-space interventions.
- Another library builds off of this one in the direction of mechanistic interpretability, for finding SAE-like features without the hassle of training an SAE, providing a range of static and interactive visualizations, scanning & storing model states at some or all steps of inference, among other things.
If any of this maps onto a problem your organization has or a role for which you have not found an easy title I would be glad to talk: jim.jdiv@gmail.com
Remote: Yes
Willing to relocate: Yes
Technologies/Skills: C++, C#, Java, Python, GitHub/Git, Linear Algebra, Differential Equations, Solid State Physics, AWS Lambda, Azure DevOps, R, Julia, MATLAB, Ray, SLURM, HPC, Docker, SQL
Resume: available upon request
Email: hnusername at gmail.com
LinkedIn: https://www.linkedin.com/in/noah-rahman-01504257
Grad student in physics, ex-dev looking to transition into AI/ML or data science. Lately have been working on RAG and causal inference side projects, see my GitHub (https://github.com/BaronWolfenstein/causal_bench) for the latter.
Remote: Yes (2pm-11pm IST — full EU hours + US-East mornings)
Willing to relocate: Yes
Available: Remote immediately, on-site from Dec 2026 — final-year B.Tech CS, MNNIT Allahabad
Technologies: Python, C/C++, Docker SDK (sandboxing, cgroups), LangGraph, FastAPI, WebSockets, Numba, SQLite (WAL), Linux
Resume: https://drive.google.com/file/d/1XXZ-d2hf8wEJYx0O-kX310qkeHr...
Email: sriramvarun636@gmail.com
GitHub: https://github.com/sriramvarun0636
Systems plumbing, concurrent pipelines, and secure runtime isolation for agent startups. The claim I'd rather be judged on: not that my agents are correct, but that being wrong is discoverable. Write-up: https://sriramvarun0636.github.io/
Vasool — compliance-gated payment recovery agent on Razorpay's test APIs. I pre-registered seven falsification criteria before running anything, and then lost against one: a dumb baseline that retries everything recovers 16.35pp more than mine. It also breaks policy in 1,000 of 1,000 seeded runs; mine breaks it in 0. That trade is the finding, and it's the second section of the README, not an appendix. The LLM never calls a tool — inert verdict type, no adapter to the execution plane, asserted by an import-graph test. Simulated outcomes, tagged as such in the source; every figure is a key in a committed manifest, so you can check any number without running anything. https://github.com/sriramvarun0636/Vasool — 5-min walkthrough: https://youtube.com/watch?v=B0Iov6qAaqs
AutoPatch-AI — autonomous code remediation agent on a LangGraph state machine. Zero-trust Docker execution layer (network_disabled, 256MB RAM, 128 PID cgroup caps), real-time telemetry over thread-safe queues via SSE, AST-based parsing that cut context bloat ~80%. https://github.com/sriramvarun0636/AutoPatch-AI — 90s sandbox demo: https://www.loom.com/share/104cf5ebcfc144a09f49c62830755408
SentinelPrime — multi-threaded options system on live WebSocket data. Releases the GIL via Numba (nogil=True), actor model over daemon threads isolating DB I/O and API calls, fixed-size ring buffers to kill allocation overhead under 24/7 operation. https://github.com/sriramvarun0636/SentinelPrime
Looking for backend/infra/agent-systems work at pre-seed to Series A — founding engineer or engineer #2-5. Eval and agent-safety teams too. Standard loops are fine, and I'll also take a paid 2-3 week trial sprint on a real bottleneck in your codebase.
Remote: Yes. Happy to overlap substantially with US/Canada, European, Australian or New Zealand working hours.
Willing to relocate: No
Technologies: Python | LangGraph | LangChain | Agentic AI | Graphiti/Neo4j | RAG/graphRAG | PyTorch/HuggingFace | n8n | AWS | Terraform | Docker | FastAPI | PostgreSQL | React/Next.js | MCP | Claude Code and Codex (with engineered harnesses, solid human judgement and experience arguing with them)
Résumé/CV:
General tech: https://drive.google.com/file/d/1igF38vIVHMa-bghFMPC3MfimBtV...
Health/clinical/biomed domain-specific: https://drive.google.com/file/d/1FUUemGkPPDOy0YKFG1FHQpCfzme...
Email: mprodhi@gmail.com
GitHub: https://www.github.com/prodm93
Whitespace demo (frontend accessibility still needs work): https://drive.google.com/drive/folders/18UvWT5NriOlVy54Yz5KC...
AI engineer, agentic systems builder and former biomedical researcher. I have 5+ years of development experience and 4+ years building AI systems professionally across startups and larger corporate clients, with work spanning biomedical/clinical AI, finance, content systems, automation and general-purpose LLM applications (including regulation- and compliance-heavy domain work). The common thread is probably best described as “grounded mad scientist” energy. I like getting dropped into problems where there is no roadmap, the inputs are horrible, the requirements are fuzzy and the straightforward-looking solution stops being straightforward approximately fifteen minutes after you touch the real data. I tend to do my best work somewhere around that point.
A few examples:
For a long-term startup client, I effectively became the technical founding person with no repo, no technical guidance and no roadmap in sight. Among other things, I built their AI-driven content and automation ecosystem from scratch. When generic AI output became the problem, I came up with an in-place DPO approach that mined their actual messy Notion editing history, including highlights, strikethroughs and collaborative edits, to generate positive/negative preference pairs for few-shot prompting. No labellers and no fine-tuning. A/B testing, which I also designed for non-technical founders, showed more than 30% improvement in output quality.
For Danaher Corporation via NILG.ai, I built a pharmaceutical pipeline extracting clinical endpoints from FDA drug labels and ClinicalTrials.gov records, then classifying them into higher-level outcome categories. The extraction itself was the easy bit. The interesting work started when the FDA API confidently returned the wrong drug label, source datasets had gaps and seemingly simple client terminology turned out to be inconsistent enough to silently poison downstream analysis. A lot of my work is exactly this: translating fuzzy human requirements into technical systems that are not merely impressive-looking, but actually trustworthy.
For Berkshire Partners, I built a private long-context retrieval and summarisation system over confidential 120-page interview transcripts using locally-run open-source models. This was early 2024, under severe context-window constraints, so I adapted LangChain's refine chain across multiple retrieval rounds to preserve information while generating higher-order outputs such as market forecasts and investment opportunities. Roadmap? Nowhere to be seen.
I also recently had a feature PR merged into Backblaze's open-source genblaze SDK. The docs told users in several places to hash fetched assets themselves for provenance verification, but no shipped tool actually did it. I added opt-in byte-level verification through the existing SSRF-hardened transfer path with DNS pinning, presigned URL credential redaction and per-asset failure isolation. What I enjoyed most was dropping into an unfamiliar codebase, figuring out why earlier architectural decisions had been made and building around those constraints instead of bulldozing through them.
I started my AI engineering career at an AI + NLP research startup called Sagewrite (before the ChatGPT hype took off), where I built substantial chunks of their production backend. I worked on scientific PDF parsing and text-processing pipelines, prepared model-training datasets and built scientific text-generation systems using models including GPT-2. So yes, I’ve been trying to get useful things out of AI slop since GPT-2, which had approximately the literacy of a toddler–work in this field is not a fad pivot for me!
As an erstwhile scientist, I also come with extensive biomedical research experience. My wet-lab background is in immunology, immunotherapy and cancer biology, including doctoral work at Amsterdam UMC and MSc research at CIC BioGUNE that contributed to a Nature Communications paper on Siglec-15. Since moving into AI, I have worked on pharmaceutical and clinical-trial pipelines, PubMed/citation analysis, therapeutic chatbot systems, RAG over biomedical literature and antiviral drug-discovery ML. I am very interested in biomedical/healthtech AI, but absolutely not limited to it.
Outside client work, I am currently building Whitespace, a React/Next.js app that maps a user's professional expertise against the patent landscape to surface unmet needs and generate validated R&D ideas. It uses agentic graphRAG, multi-agent workflows, an adversarial multi-LLM council and human-in-the-loop review. The backend is being built as a proper production system rather than a demo held together with hope: Terraform-defined AWS infrastructure, LangGraph workflows, async orchestration, observability and a lot of thought around security. Demo videos/screencaps linked above.
The other useful thing to know about me is that I learn obscenely fast. My brain usually has about 2048 tabs open, most involving some Google rabbit hole, documentation page or StackOverflow thread explaining why the thing that "should obviously work" does not. I use AI heavily in my coding workflow too, but I am perfectly happy arguing with it until I understand why a design is sound rather than accepting whatever compiles.
Logistics:
I work through Confluente Ltda, my registered Brazilian PJ entity. For overseas companies this can be structured as a straightforward B2B vendor relationship rather than foreign payroll or visa sponsorship. Day to day, I show up, do the work and remain accountable like any other member of the team. Administratively, there is much less cross-border employment machinery for you to deal with.
I have worked remotely with clients across multiple continents and time zones for years, including long-running engagements, so async work and deliberate communication are very normal for me.
Open to full-time, part-time or long-term contract arrangements. Special place in my heart for founding eng roles. Interested in AI/ML engineering, agentic systems, AI-native software development, automation, applied AI and biomedical/healthtech/scientific AI.
English is my first language (I'm an anglophone transplant to Brazil).
I do not trust what I have not verified, including my own code.
Full-stack dev, 5+ years, last year building LLM products rather than demos. Everything below is something I found by auditing my own work, not by reading about it.
intent-gate — https://www.npmjs.com/package/intent-gate A job posting with hidden instructions got my CV pipeline to write ten years of Kubernetes into my resume. Technology I have never touched. The system prompt told it to use only what was in my facts file and it obeyed the posting instead. What stopped it was a deterministic validator comparing every named technology against ground truth, no model in the loop. A prompt is a request. A check is a guarantee. I published the routing pattern as a library.
job-hunter — https://github.com/ale-aguirre/claude-job-hunter Autonomous job search agent running on my own search. It taught me that my own verifier was lying to me. It counted a URL redirect as a successful application. Aggregate confirmation sat at 78 percent and looked healthy, until I graded per channel and found four integrations at 100 percent and one at zero out of sixty, silently dead for months. The average was hiding it. That number was on my CV and I removed it.
DocUnify — production, private Document comparison SaaS running at an Argentine auto parts manufacturer, 72 employees, in a domain audited against IATF 16949 and ISO 9001. Two people there use it for their actual work. The part I would defend under questioning is the semantic reclassification after the LLM call, because the model kept flagging paraphrases as real differences and embeddings catch that.
This week — https://github.com/theam/facility/pull/242 Merged a fix into an open source AI SDLC project and filed two issues, one about an agent being able to write the field that marks its own check as platform verified. I reproduced the bug on my own machine first and my first repro was a false negative, because bash was eating the backslashes in my test payload.
English C1 written, B2 spoken. Open to full-time or contract.