I'm a Full Stack and AI Automation Engineer who loves building practical, scalable systems. My focus is on AI systems, workflow automation, and backend engineering, with a strong commitment to open-source development.
I build end-to-end applications using modern technologies. Strong foundation in frontend (React, Next.js, TypeScript), backend systems (Node.js, Python, FastAPI), databases, and cloud infrastructure.
Intelligent systems that orchestrate complex tasks
End-to-end web experiences with modern tech
Infrastructure and tooling that empowers teams
High-performance systems designed for growth
Community-driven projects and contributions
Well-designed solutions that stand the test of time
I believe in building systems with intentionality. Every decision should serve a purpose, and every line of code should be defensible.
Keep important data and capabilities close to the user when the system allows it
Use explicit contracts between interfaces, runtimes, persistence, and native operations
Prefer observable, auditable behavior over opaque automation
Build in public and contribute tools that other developers can inspect and extend
An AI-native workflow automation and orchestration platform for AI agents. Build, run, inspect, replay, and expose self-hosted workflows with memory, document RAG, agent teams, MCP, integrations, APIs, and execution observability.
Open-source development with Docker deployment and multiple model providers
A local-first cognitive architecture for a persistent digital companion.
Long-term memory, personality, emotional state, experience tracking, reflection, and structured cognition across a TypeScript/Node.js runtime and Python inference service.
A Windows-first desktop virtualization and AI workspace.
Typed VM definitions, persistent configuration, runtime discovery, deterministic QEMU command construction, and controlled process management. WHPX and the AI workspace remain roadmap items.
Workflow automation
AI and developer systems
Desktop virtualization
Architecture and boundaries
Public engineering work
Experimental systems in progress
Conceptualizing solutions with clear goals
Designing scalable, maintainable systems
Building with clean, intentional code
Ensuring reliability and quality
Shipping to production with confidence
Continuous improvement based on feedback
I run custom infrastructure to experiment with technologies and understand system design at a deeper level. Self-hosting drives better engineering decisions.
Maintaining projects that help other developers
Writing about AI, systems, and engineering practices
Contributing constructive feedback to improve projects
Helping junior developers grow and learn
Active participant in developer communities
Creating utilities that solve real problems
Selected work across local-first software, AI systems, 3D interfaces, and full-stack engineering.
Supporting projects that extend the same interest in useful, carefully structured software.
