Role
AI-Native Full-Stack Developer
[ ORIGIN ]
Building intelligent products where design intent and system behavior stay aligned.
I work at the intersection of AI workflows, frontend architecture, and backend platform design. The goal is simple: turn complex technical capability into software that feels clear, fast, and trustworthy.
Focus
Frontend Experience + Backend Reliability
Operating Mode
Product-first, systems-minded execution
[ Perspective ]
AI products work when the boring middle works — where prompts become tool calls, tool calls become API contracts, and contracts become whatever the user sees. The model gets credit; the integrations decide whether anyone trusts the result.
I build assuming the model will surprise me. The interface stays deterministic, the backend retries on its own, and the telemetry makes a weird output debuggable instead of mysterious.
[ Operating Principles ]
01
Treat prompts like code. Evals are the contract; the prompt is one implementation.
02
Latency and token cost are product features. They show up in the interface whether you design them or not.
03
The model is a subsystem with a wide failure surface. Constrain its outputs, validate them, and degrade gracefully.
[ Contact Channel ]
Have a build worth shipping?
Email is the best path. I read everything and reply within a day or two. LinkedIn works if that's where you live.