Systems architect. AI tooling. Real-time infrastructure at scale.
I design and build high-throughput systems — real-time data pipelines, AI-powered developer tools, and infrastructure that handles scale without falling over. Former startup CTO. Scaled engineering org from 3 to 30+. Now consulting on AI systems architecture.
Real-time systems Session stitching, event streaming, sub-second aggregation
AI infrastructure LLM orchestration, context engineering, agent architectures
Backend at scale Go, distributed systems, Kubernetes, cost-optimized cloud
Privacy-first design Local-first apps, data sovereignty, GDPR/HIPAA patterns
Latest merged OSS contributions
- openai/openai-agents-js#887 — fix(agents-core): handle invalid JSON in tool call arguments gracefully
- pnpm/pnpm#10437 — fix(run): fail when no packages have script in filtered recursive run
- aws/aws-cdk#36652 — feat(synthetics): add syn-nodejs-3.0 runtime
- nexo-tech/clawde#1 — feat: Initial Clawde SDK implementation
- openai/openai-agents-js#841 — refactor: #275 simplify streaming state by removing unused index tracking
Full history: CONTRIBUTIONS.md
Projects I'm working on
- homebrew-tap — Homebrew tap for OlegHQ tools (rssdude, …)
- agentpack — 🤖 The package manager for AI coding agents — pin, resolve, and sync skills & plugins across Claude Code, Cursor, OpenCode, Codex, Grok, and Antigravity
- OlegHQ — 👨💻 Personal GitHub profile README with bio, current projects, tech stack, and collaboration interests.
- paddle-eio — Focused Paddle Billing REST and webhook client for OCaml 5 and Eio
- workflow-runtime — Small in-process workflow observation runtime for OCaml
Built real-time attribution platform processing millions of events daily. Took a startup from MVP to production in 8 months, engineering team from 3 to 30+. Shipped systems in Go, Rust, TypeScript, Python, Swift, Dart across adtech, dev tools, and consumer apps.
Currently: Technical advisor for AI startups. Building infrastructure for agentic systems.