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.
I spent a decade as CTO at EMEX, growing the engineering team from scratch through private equity acquisition. Today I operate through Brightform Technology, working with founders who need senior-level engineering without a full-time hire. The kind of problems where product sense and architectural judgment matter as much as code output.
* Led all frontend architecture for an IoT platform processing high-volume sensor data across nationwide deployments. Built real-time building floorplan visualization, time-series HVAC dashboards, and a modular device configuration system.
* First engineering hire → CTO at EMEX. Built the flagship real-time reverse auction platform that drove seven-figure annual sales. Grew and led a team of 6 through acquisition.
Best fit: founders with a clear idea and the budget to move fast. You might have Figma mockups, a vibe-coded prototype, or just a well-defined concept. I bring product direction alongside the engineering.
Interested in climate, sustainability, greentech, hardtech, bluetech, etc. or music tech, or anything you need those are just my prefs <3
Technologies: Linux, Open Source, Python, Storage, Git, CI/CD, Ansible, Virtualization (and now getting into self-hosted AI)
Resume: https://www.linkedin.com/in/charles-ulrich-a1b415266/
Hi, I'm Charles and I have decades of experience with Linux administration, with some cloud and orchestration thrown in for good measure. I am passionate about open source and making people's lives easier. My strengths are clear communication and methodical troubleshooting/analysis. I love learning new things and hope for a job that exposes me to more coding, cloud, orchestration, AI-related development, and nice people.
Well-versed in: Linux, Python, Bash, virtualization, containers, CI/CD, Ansible, git, and more. I am a generalist and love digging deep into new things.
Only open to remote W-2 positions at this time. May consider an on-site job in or around Ann Arbor if the culture is right. Regardless, I'm always happy to talk to anyone about anything so absolutely feel free to reach out for a chat!
Software Engineer with experience building and scaling real-world financial systems at Nasdaq. Worked across the stack with Java/Spring Boot, React, and SQL to deliver high-performance trading infrastructure and leading onboarding for billion-dollar enterprise clients.
Strong foundation in mathematics (BSc from the University of Toronto) with a deep interest in data structures, algorithms, and computational theory. Comfortable owning features end-to-end, collaborating and building scalable, reliable software. Looking to contribute to solving complex, high-impact problems.
If you have some fun, non-corporate-feeling stuff to do, drop me a line.
Remote: Open to remote or hybrid/in-office in SF Bay Area
Technologies: Full stack web dev for 15+ years in many forms. In recent years I've been focused on game development projects using Babylon/WebGL and working with C++ & Go server-side (MMO servers). Many years of project and product management as well.
I have some cool projects! See my personal site for email and some of those projects:
Coolest released one is probably https://www.idlequest.net/, which is an idle-game web-based version of classic EverQuest, complete with its original 3D graphics in-browser and a real-time MMO server! Had up to 70 players online at the same time a month or two ago.
About to release my biggest project, which is a full reverse engineering and re-implementation of the 2007 MMORPG "Vanguard".
Looking largely for product engineering positions, or project/product management style work. Have done both and enjoy both a lot. Open to contracting or full-time.
Technologies: Java EE, Spring, Spring Security, REST, HTML/CSS, JavaScript, JQuery, Node.js, Python, Jaspersoft Studio, Eclipse, Tomcat, MySQL, Oracle, Git
I am a senior developer and consultant with over 15 years in the industry. My expertise is in building robust, secure and scalable backend services and enterprise applications.
My expertise includes data visualization, business intelligence and analytics. I have extensive experience with the TIBCO Jaspersoft BI suite - Jaspersoft Studio, JasperReports Server and Jaspersoft ETL (Talend Open Studio and Server).
I am looking for part-time or full-time freelance / consulting opportunities at the moment (up to 40h/week).
Linkedin: https://www.linkedin.com/in/nishchal-arora
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
Design: Figma, Adobe Illustrator, Adobe Photoshop, Adobe Experience and Miro
Presentation: Keynote, InVision, Microsoft PowerPoint
Project Management: Jira, Kanban Boards, and Trello
Prototyping Tools: InVision, Axure RP and Figma
Résumé/CV: https://drive.google.com/file/d/1stXm3PbP-_20SKp-RK-KEPfINGO...
Introduction: I am a UI/UX designer with a background in graphic design, art direction, and more than six years of experience in the design industry. I am proficient in creating digital products in agile environments for the consumer and healthcare markets. With my strong analytical, research, and teamwork skills, I have successfully led a variety of projects from conception to development in both office and remote settings. I have extensive experience crafting personas, qualitative analysis, user journeys, user flows, user interface design, low and high fidelity prototypes, stakeholder presentations and design systems for UI components.
I am looking for full-time contract or freelance/consulting opportunities at the moment (up to 40 hours/week) in UI UX Design
Linkedin: https://www.linkedin.com/in/manasi-shetye
Summary: AI Systems Architect with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation.
Technologies: Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray
Remote: remote / hybrid / in-office all OK
Technologies: server, fullstack, cloud, applied AI
I'm a high-agency, high-energy, eclectic, serious, fun, creative techie who's done lots of things at BigCos and startups. My happy place is working hard with smart people on something big and complex that makes the world better.
After several years in the consulting/contracting game, I am looking for an ambitious team to join. Maybe yours!
A few of my spinning plates right now: Golang inference worker, two Expo apps in TS/RN, Python data pipeline, AWS IoT for HVAC-adjacent devices, shared FFI components in Rust, and a HealthTech web app in TS/React.
Interested? Drop me a line, and if you're in the Bay Area let's grab a beverage!
Willing to relocate: No Technologies: Java, Spring Boot, REST, Scala, Typescript, SQL, Python
Resume/CV: https://daltontf.github.io/Resume.pdf
Taught myself Java in 1997 and was able have it do the heavy lifting over the years. Have "kicked the tires" on a lot technologies over the years for side-projects evidenced by the menagerie of repositories on my GitHub.
Technologies: TypeScript, JavaScript, PHP, Python, FastAPI, Redis, MongoDB, PostgreSQL, TimescaleDB, MySQL, React, React Native, NestJS, AngularJS, Backbone, Playwright, Drupal, Express, jQuery, D3.js, visx, GraphQL, Chrome extension, Claude Code, and AWS
My focus has been on browser automation and building browser agents since 2018, with 13 years of enterprise experience building dynamic data user interfaces for web and mobile. I have experience working at both medium 130 person AI companies and small, fast-moving 7 person teams wearing many different hats, which I prefer. I have been instrumental in taking multiple companies from 0 to 1, both as a consultant and as a full-time employee in media, real estate, marketing, streaming services, education, and fintech.
Technologies/skills: Ruby, Ruby on Rails, RSpec, Git, Turbo/Stimulus, TailwindCSS/TailwindUI, AWS, Kamal, HTML, CSS, JavaScript, SQL, APIs, people
Resume/CV: Ruby on Rails professionally since 2008 at Shopify, Apple, Intuit and a bunch of startups as well. Open to consulting/contract work or salaried positions.
Technologies: TypeScript, React, Next.js, React Native, Node.js, NestJS, Go, Python, SQL, PostgreSQL, MongoDB, Redis
I'm very interested in deep learning, formal verification, and compliance automation, but also artificial life, complexity science, robotics, cybernetics (as in Beer), computational social sciences, network science, transit, city planning, etc.
I use Claude Code happily at work, as directed, and seen significant (though not unqualified) productivity gains. I've used it to varying degrees on different personal projects. I'm avoiding it now on personal projects (to retain and build skill). I can work anywhere along that spectrum.
I enjoy learning about what other people are working on, so even if you're not hiring or not interested in hiring _me_, I'd love to connect. I've had some genuinely transformative conversations with people I've met on HN, and I'd love to have more.
Technologies: cloud -- AWS, EC2, RDS, Dynamo, Lambda; docker, containers; Typescript, Python; numpy, pandas
Resume: https://zmichaelgehlke.com/misc/zmgehlke-resume.pdf
Technologies: Rust (Aya, Tokio, eBPF), Python (FastAPI, Django), Go, Kafka, AWS, Kubernetes, Linux Kernel ABI.
Résumé/CV: https://ankurrathore.net.in/Ankur_Rathore_Architect.pdf
I am a Lead Systems Architect with 12 years of experience specializing in high-throughput distributed systems and kernel-level performance.
Recent Achievement: Author of the "Crate of the Week" in This Week in Rust (#645) for my tool 'tsastat'—a high-resolution Linux thread state analyzer.
What I do: * Scale Kafka/NiFi ingestion pipelines to handle millions of daily events. * Engineer zero-cost Linux observability tools and eBPF network filters in Rust. * Optimize P99 tail-latency in Python/Go microservices. * Architect 0-to-1 data platforms for SDN, Cloud and FinTech.
I am a free agent looking for Lead/Staff roles or high-stakes consulting missions where technical excellence is a requirement.
I run a consulting company (atomweight.io), and have provided infosec, devops, and software engineering services to a variety of clients. I am open to both full-time and contract engagements.
I don't particularly enjoy coasting or clocking out at 5pm (mostly since I'm a night owl), so I'm looking for opportunities where I can move fast, build, ship fast, contribute the most value, and grow. If my skills and experience seem like a good fit for your needs, please reach out!
About: I am a Generative AI Engineer who also happens to be pretty handy across the full stack. Most of my recent work has been building RAG pipelines, AI agents, and natural language search — using LangChain, LangGraph, and vector databases like Pinecone and ChromaDB — with OpenAI, Anthropic, and Gemini APIs under the hood. I care deeply about shipping GenAI features that hold up beyond the demo stage.
Beyond GenAI, I am working on the full stack — React/TypeScript on the frontend, Node.js or ASP.NET Core APIs on the backend, and AWS/Azure for infra. I like owning things end-to-end and building software that's simple and reliable.
Resume/CV: https://www.rasikjain.com/about/
LinkedIn: https://www.linkedin.com/in/rasikjain/
Stack Overflow: https://stackoverflow.com/users/1993944/rasik-jain
Technologies: Terraform, Kubernetes, Python, Golang, Ansible, PostgreSQL, AWS, Ansible, Agentic Coding (OpenCode + vLLM + Local Models + Frontier/ VSCode + Copilot), Bash & Linux (all distros)
Résumé/CV: https://www.linkedin.com/in/chris-marlow-37661177/ (full resume on request)
Recently built a pure C http server, by hand, with an online game bundled into it, in C, by hand, served on a website as a modern spin on MUD (multi-user dungeons). Also, recently built a vanilla (no 3rd party libs no AI) html/css/js with css3d card game - https://spirofloropoulos.com/css3dtabletop
Full-stack web, software and game developer, specializing in high-performance, minimal-dependency solutions. Available as an individual contributor, lead developer, or consultant. I excel at simple, efficient code and pushing web technologies to their limits. Can mentor teams or bring expertise to complex projects.
Proven track record of building multi-million dollar websites from scratch to production.
Also experienced in technical streaming (online content), community engagement, and mentoring developers on modern dev practices.
Willing to relocate: Open to Remote, Hybrid, and In Person roles
Technologies: Python, PyTorch, LangChain, FastAPI, ChromaDB, PostgreSQL, Docker, Google Cloud Run, AWS, GCP, React.js, SQL, spaCy, NetworkX
Résumé/CV: https://buvanipai.vercel.app/Buvani_Pai_Resume.pdf#view=FitH
MS CS (AI/ML) — Northwestern '24 | Currently: AI/ML Engineer
Building real-time voice AI pipelines (sub-800ms latency) and RAG systems at Bhuvi IT. Previously shipped distributed 8-GPU training at Argonne National Lab (2TB astronomical data, 1 week → 20 hours) and graph-based entity resolution (0.96 F1) as standalone projects. Comfortable across the full stack from model training to serverless cloud deployment.
Open to ML Engineering, Applied AI, AI Infrastructure, Software Engineering or Data Scientist roles.
I'm a Senior DevOps engineer, Cloud Architect and Infrastructure Engineer.
I provide contract or ad-hoc services and support to startups, growth companies and enterprises. I'm often called to set up greenfield DevOps installations, architect and build cloud infrastructures, design platform architectures, build cloud-based, SaaS and mobile products and assist with emergency or short-staffed situations.
I've worked across diverse industries, crypto, tradfi, data platforms, IoT, AI, search, media, etc., which has taught me that that real solutions are rarely one-size-fits-all. I provide solutions tuned precisely to each of my clients: their products and customers, and the way their teams work.
I also provide fixed-price services which are often ideal for startups:
BOOK YOUR FREE CONSULTATION HERE: https://ondemanddevops.com/?sid=hn2605
Technologies: Rust, Golang, Python (Django, Scikit-learn, Pandas), PostgreSQL, Clickhouse, Elasticsearch, Docker, GCP.
Résumé/CV: Reach out and I’ll send a detailed version
Senior Software Engineer with 11+ years of experience building and scaling distributed systems.
My career has spanned high-growth startups, successful acquisitions, and major enterprise research labs.
Looking for: Full-stack, backend, or AI engineer roles working on enterprise/consumer AI products. Very open to new technologies, as I really enjoy learning and building using cutting-edge tech.
At internship: Built AI agents with Semantic Kernel (reduced workflows 40%, 20K+ users), Python/Golang backend with gRPC on AWS, and Angular micro-frontends.
Currently: Leading 6-person team on medical QA analysis platform processing 150K+ data points across 4 hospital sites (ASP.NET, Next.js, Docker, PostgreSQL, Nginx).
Research: Co-authored 2 papers on RAG systems (Best Paper Award at IMNS 2025, published at IEEE/ACM CHASE 2025: https://dl.acm.org/doi/10.1145/3721201.3725519). Built RAG application achieving 95% accuracy on healthcare automation.
- Automated course scheduler using agentic AI + Google OR-Tools (React, SQLite, AWS Lambda and ECR, FastAPI) for econ department
- Sidequest: iOS app (React Native + Swift) with on-device OCR + LLM parsing using Vision Framework for receipts
Resumé/CV: https://sameepshah.com/resume.pdf
I lead a global volunteer team and take full product ownership: setting direction over multi-year horizons, planning and implementing architectural migrations, and keeping a project moving via community engagement, triage, fixes, reviews and mentorship.
Looking for: full-time or contract. IC or EM, I'm nontraditional so I'm open to a conversation about which fits. Drawn to work that makes people's lives better, in any stack.
Remote: Yes — EU hours, or US East Coast overlap
Technologies: Python, Go; ML/data pipelines; document → graph extraction; regulatory & legal-domain data
Résumé: https://walat.eu | linkedin.com/in/dariusz-walat
Senior software engineer, 20+ years on production systems. Working on neural nets since 1996 (neuroevolution, genetic programming) — multiple AI cycles' worth of perspective on what survives the hype. Currently building a regulatory forecasting system for Polish law: ingesting statutes back to 1944, building a graph of legislation and amendments, reasoning about where the regulatory surface is moving. The hard problems are PDF → structured graph at scale and reasoning under uncertainty, not the model wrapper.
I also write about where AI coding agents actually work and where they quietly fail.
Best fit when the work is engineering-shaped — application/data rather than infra/SRE/Kubernetes-heavy — and the schedule overlaps EU hours. Comfortable as autonomous IC or small-team tech lead. Domains where messy real-world data meets non-trivial reasoning are where I'm sharpest — regulatory, legal, scientific, financial.
HN: news.ycombinator.com/user?id=stakent (since 2009)
Open to work on product management, solutions architecture, agentic AI or customer engineering. Remote is preferred for time zones spanning Europe to India; onsite/hybrid in Mumbai is also great. Unfortunately cannot relocate.
Open primarily to freelance/consulting roles, but full-time roles will also be considered if we're a good fit.
Technologies: AWS, EKS, GitHub Actions, crossplane, Terraform, Azure DevOps, EC2.
Remote: Yes — US Eastern overlap, async-friendly with Pacific (years of practice), happy to do the occasional late sync call.
Technologies: backend, Python, TypeScript, PostgreSQL, AI agent infra (e.g. Temporal), I can fake my way around frontend too
Resume: https://valiukas.dev/resume-linas-valiukas.pdf
15 years backend. Ex-Automattic on Jetpack Backup, ex-Media Cloud (Harvard/MIT, ICWSM 2021 co-author). PGConf SV 2018 and APAC 2019 talks on Postgres at scale. Currently running https://aero.zip + https://www.lobsterpack.com in parallel and vibecoding like crazy.
Grug-brain engineer (https://grugbrain.dev) and recovering purist. I'd rather push the needle in the wrong direction fast and correct course than design the perfect thing for six months. AI embracer - I treat it as an exoskeleton, not a replacement.
Not a big fan of: calculator apps on Kubernetes, six-round interview pipelines, unpaid take-homes longer than 2 hours.
Technologies: TypeScript, Node.js, NestJS, Express, PostgreSQL, MongoDB, Redis, AWS (EC2, S3, Lambda, RDS), Docker, Linux, CI/CD
Résumé/CV: https://www.linkedin.com/in/bobanlukic
13 years in software, last 5+ on backend. Just wrapped 2 years at FuelMe (fuel management SaaS): Senior Backend Dev, then Tech Lead from Aug 2025. Built procurement and invoice-auditing workflows on Node, Postgres, AWS. Wrote OpenEnvoy and QuickBooks integrations.
Before that: Cinnamon (fantasy sports, Revaire), DistantJob (multi-client backend), and 7 years self-employed building mobile games. One title passed 10M downloads.
Shipping production code with AI tooling daily for over a year. GitHub Copilot throughout, Claude Code for the last 7 months. Three open-source MCP servers on npm: postgres-scout-mcp, mongo-scout-mcp, kontra-mcp.
Open to: full-time remote (Europe, US, Canada), B2B via Lukic Engineering DOO (Serbia, EUR or USD), or shorter projects.
I ship full features end-to-end using on a real production codebase, not a prototype.
Looking for a 12-24 month senior IC seat at a YC or AI-native startup:
• Founding Engineer / early eng at a recently-funded YC company • Forward-Deployed Engineer at a funded AI startup • Senior staff IC where speed + ownership matter
Email: kenbrlow@gmail.com LinkedIn: https://www.linkedin.com/in/knbrlo/· X: @knbrlo
Best fit: early-stage founder who needs someone to own the software end-to-end -- architecture, decisions, shipping. Bonus if the problem space has real research depth -- more than comfortable with math.
Looking for: part-time contract, ~20-28 hrs/week, starting now and continuing through the upcoming PhD (formal verification + quantum computing).
I'm a Full-Stack Developer, Web Designer and Image Editor with over 25 years of professional experience. Problem-solver and avid learner, I'm used to working with small and large teams across enterprise, government and third sector. I take deadlines and delivery commitments very seriously.
Technologies: Python, Go, Node.js, TypeScript, Java, React, Next.js, GCP, K8s, Terraform, Temporal
Résumé: https://docs.google.com/document/d/1n_ND_GJbajELPmjggrhMkg5a...
- Engineer #2 at Galaxy (NYC AI startup, Oct 25–May 26). Galaxy got acquired; acquirer isn't keeping India based contractors.
- Founding engineer at Grub Direct (food delivery + POS, 2023–25): Java Spring backend, React Native.
- Built outomated.com solo to $200k lifetime revenue (Global X ETFs, Boxabl among customers).
Looking for a founding eng or senior backend role. Contractor / EOR / freelance, all fine. Available immediately.
Technologies: Python, Typescript/Javascript (React), Postgres, AWS
Résumé/CV: https://resume.lucamasters.com/
My primary experience is subscription ecommerce (starting in tech support and moving into fullstack engineering) and fincom. I'm always happy to learn new tech, but I've mostly done Python and JS/TS in the past few years.
Remote: Yes, open to a few office visits per year
Technologies: Java, Spring, Python, Rust, Bash, Kubernetes, Terraform, RabbitMQ, PostgreSQL, AWS, Prometheus/Grafana
Backend/platform engineer with 6 YOE. I started in DevOps consulting, building automation, CI/CD, and Terraform/Packer workflows for Fortune 500 clients, then moved into backend engineering on a healthcare claims/payments platform. Recent work includes owning a greenfield ingestion service from first commit to production, shipping cross-service billing integrations, resolving P1 performance issues, and supporting production services through Kubernetes, CI/CD, and observability ownership. Cut runtime by 90% on one client-sensitive workflow.
Most interested in observability platforms, data infrastructure, and AI engineering broadly — anywhere AI is sharpening human judgment rather than displacing it. Currently building out infrastructure tooling in Go using agentic workflows (Claude Code).
Works across the stack — each layer has its own problems worth solving. Publishes on engineering decision frameworks and AI-augmented development workflows.
Pursuing CKA. Not interested in defense, crypto, or gambling.
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/
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.
Willing to relocate: Yes (Salt Lake City, Carson NV, smaller US cities) Technologies: Kotlin, Android (Room/FTS4, Compose, WorkManager), JavaScript (vanilla, zero-GC patterns), HTML/CSS, SQL, FTS4, TF-IDF, ServiceLocator DI
Résumé/CV: https://drive.google.com/file/d/1e-UhVAkgbpoM7MjF_GtCW_PcsYA... Email: zhikun.dev@gmail.com
Filed US Provisional Patent #63/942,399 in December 2025 covering an offline memory lifecycle management system for mobile AI. Reference implementation on Android (M3mo Vault): FTS4 + TF-IDF hybrid search at 0.78 microseconds/memory on 10K-entry scale, 7-factor decay algorithm validated via ablation study (12x weight differentiation vs 2x baseline), 7-layer ServiceLocator DI replacing Hilt.
Also building Entropix Engine — a zero-GC browser game engine in vanilla JavaScript sustaining 3,000+ entities at 60 TPS. Structure-of-Arrays memory layout, GridHash spatial partitioning, deterministic fixed-timestep loop, featuring an adaptive grid-sampling fix resolving buffer overflow on high-refresh-rate displays. Live prototype on https://retroindex.org. 60 days into development, 13 milestones shipped. Weekly devlog on r/gamedev.
Past commercial work: scaled an e-commerce operation from $20K/mo to $140K/mo (7x) over 2 years through hand-coded HTML and SEO engineering — 700+ product pages under strict eBay platform constraints (no external CSS/JS allowed), with automated template pipeline reducing launch time 20%.
Background: BS Data Analysis Psychology, UC Davis (2021).
Looking for: contract or full-time remote roles in mobile AI infrastructure, on-device AI memory systems, performance-critical JavaScript/TypeScript, or e-commerce engineering. Open to indie hacker collaborations and Show HN partnerships.
GitHub: https://github.com/PhantomCyclops0079
I am a Full-Stack Engineer focused on building high-performance, security-first systems engineered for longevity. My recent builds consistently achieve a 100 Performance score on Google PageSpeed Insights. Every project I deliver will have 89+ on all pagespeed metrics, no matter what. This does not sacrifice quality, however.
I specialize in end-to-end infrastructure (Website + Dashboard + Backend). I also offer security audits, and bumping your pagespeed scores without sacrificing quality. I offer complex Shopify logic too. I prioritize a "No-Call" workflow. I provide a written plan of action and deliver the code, allowing you to focus on your business without meeting fatigue.
You can contact me via my e-mail, or direcly via my portfolio, whichever method you prefer. More info is in my portfolio.
Senior iOS engineer / consultant (12+ years). I build and fix iOS and Vision Pro apps from medical devices and high-traffic consumer apps to vibecoded startups struggling to pass App Store reviews.
Keywords: Computer Vision, Robotics, Inference Optimization, AutoML, Forecasting
Previously, I worked at AWS as an Applied Scientist Dual Student, where I (1) developed a novel inference optimization technique yielding 13.4% higher accuracy against baselines, and (2) improved SageMaker's Autopilot forecasting solution, resulting in a 3.5% error reduction and 16% decreased latency in production.
I will graduate with an M.Sc. from LMU in August and am seeking applied machine learning roles to transition my research into production-level systems.
Technologies: HTML, CSS, JavaScript, TypeScript, RxJS, Angular, Ionic, Cordova, Capacitor
Résumé/CV: https://nunoarruda.com/resume.pdf
Technologies: A lot, but mostly focused around Rust, React/TypeScript, and macOS/Linux. I work mostly in frontend, desktop and compute, but have also done a bit of backend. I can pick up almost any tool or framework. I technically know Python.
Résumé/CV: https://logandark.net/resume.pdf
Need work badly so send me anything except scams and fraud.