Search technical profiles with sourcing context attached.

Kevin Joseph has 15+ years of experience in front-end development with some back-end experience. He is looking for low-to-mid-level roles and is open to remote, hybrid, and on-site positions, as well as relocating to most places.

Self-taught Python developer with expertise in building and managing production systems. Has successfully deployed 4 systems running 24/7 on self-managed VPS, including HYDRABOA (multi-platform bot), Omnivara (13-agent orchestration system), AEGIS (open-source FastAPI security platform), and ENLIL (BYOK AI assistant with RAG processing). Specializes in automation bots, web scraping, Telegram integrations, and REST A…

Experienced Generalist Engineer with 12 years in startups and early-stage companies, including twice as a founding-engineer. Current interests include GIS, Elixir, applied AI, and alternative data. Capable of building ideas from scratch, scaling prototypes, and untangling legacy systems. Actively working on semantic trend analysis across podcasts using text embeddings, having developed a custom NUMA-sharded vector s…

Nico Baier is a Full-stack TypeScript engineer specializing in AI-powered developer tools and edge-first architectures. Key projects include an autonomous AI research agent with LLM tool chaining, a per-user data isolation system on Cloudflare Durable Objects, and a SQLite database browser used by 200+ developers on Val Town. He has also performed contract work for Val Town (Attio-to-Slack integration template) and …

An experienced engineer and data professional with a strong background in ad-tech, data pipeline architecture, and team leadership. Proven ability to bootstrap data pipelines using technologies like Spark, Databricks, Java, Python, and Scala. Expert in rebuilding ETL Kubernetes stacks, managing large-scale API payload extractions, and establishing data interoperability with major platforms like Facebook and Google D…

Software engineer with 6+ years of experience in production systems, debugging, improving reliability, and supporting user-facing applications. Proficient in modern frontend stack including TypeScript, JavaScript, React Js, TanStack Query, Supabase, Sanity CMS, and Linux. Developed ".Resolve", a SaaS ticketing dashboard prototype with live state management, Supabase backend, and custom role-based access control. See…

Shihab is a full-stack engineer and CS grad specializing in real-time web/mobile and AI products for startups. He has strong expertise in Next.js/React frontends, Node.js real-time backends, containerized deployments, and AI integrations (RAG pipelines, LLM evals, agentic workflows). He is currently developing DevChat (Next.js 15, Socket.io, Redis) and Cogniflow AI (RAG over videos/PDFs with Gemini API). Shihab is p…

Mark is an engineering leader with over 12 years of experience building products, infrastructure, and teams, from early-stage startups to systems serving millions of users. He excels at aligning product goals, infrastructure, and team structure, stabilizing systems, improving developer experience, and reducing manual operations to help teams ship efficiently. Recently, he has focused on practical AI-assisted develop…

Software engineer with experience in backend development, Linux infrastructure, automation, security, and cloud deployments. Recently worked on enterprise application support and data reconciliation projects for DHL. Enjoys building scalable APIs, microservices, internal business systems, e-commerce platforms, and AI-powered workflows. Open to full-time, contract, and freelance opportunities.

The profile is for a Senior Software Engineer based in Arlington Heights, IL, who is available for remote work and is willing to relocate. Further details on technologies and experience are available on their personal website and CV.

An AI/ML Systems Engineer specializing in high-performance deployments. Has built RL environments for frontier labs like OpenAI and Google DeepMind. Experience includes building distributed AI classifier systems handling 30K QPS, developing a neural network for Rocket League gameplay, and creating platforms that cut model deployment time from 6 months to 6 hours. Saved $500K/yr in infrastructure costs through optimi…