About
I build software and AI agents
teams can rely on in production.
I build software for teams working on ambitious products, especially when AI, backend systems, and developer tooling all need to work together. My edge is turning high-context ideas into production-ready systems, especially when the work demands architecture, agent behavior, developer tooling, and operational rigor all at once.
Approach
How I work
I work best on problems where strong engineering judgment creates compounding leverage. That usually means moving between architecture, backend systems, product constraints, and implementation details without losing sight of the outcome.
When AI is involved, I care less about demos and more about whether the system can be trusted. I build the surrounding harnesses, evaluation loops, and engineering constraints that turn agent behavior into something teams can actually operate and improve.
Toolbox
Languages and frameworks
Web development
React, Next.js, TanStack, Svelte, HTMX, Tailwind CSS, Tailwind Variants, TypeScript, React Query, Three.js, Motion
Node.js, Bun, TypeScript, Express, Elysia, Hono, Python, Flask, FastAPI, Django
Postgres, SQLite, MySQL, MongoDB, OracleDB
AI development
Claude, OpenAI, Gemini, Llama, Mistral, Most leading LLM models
OpenAI SDK, OpenAI Agents, LangChain, LangGraph, LangSmith, PydanticAI, Agno, Vercel AI SDK, Building agents from scratch
pgvector, ChromaDB, Pinecone, Qdrant
Langfuse, DeepEval, LangSmith
DevOps
Docker, Docker Compose, Kubernetes, Terraform, AWS (EC2, S3, RDS, Lambda), GCP, AWS, Azure, Alibaba Cloud, Tencent Cloud, CI/CD (GitHub Actions, Jenkins), Ansible, Bash scripting, Nginx
Ubuntu, Debian, SSH, systemctl, Package management, Firewall management (ufw, iptables), Monitoring and logging (systemd-journald, syslog)
Principles
What guides the work
Build systems that stay legible under scale, change, and operational pressure.
Treat AI agents like software products: instrument them, evaluate them, and give them harnesses that earn trust.
Optimize for leverage over novelty so teams move faster without sacrificing clarity or reliability.
Elsewhere