Software engineer building AI infrastructure, developer tooling, eval systems, and RAG platforms.
Languages: Python, TypeScript, JavaScript, Ruby, SQL, Bash, Swift
AI / agents: Claude Code, MCP, RAG, evals, agent orchestration, PyTorch, OpenCV
Infra: Kubernetes, Docker, Terraform, AWS, Azure, CI/CD, Redis, PostgreSQL, pgvector
Focus: eval infrastructure, tool-use planning, RAG systems, developer tooling, production reliability
The strongest fit is work on:
- eval systems
- AI developer tools
- RAG / knowledge infrastructure
- agent tooling
- platform engineering for AI products
If your team is turning AI systems from demos into reliable products, I want to talk.




