Staff Engineer building AI-backed systems, engineering standards, and the workflows that let teams ship serious software.
Staff engineer focused on the infrastructure production LLM systems run on: evaluation harnesses, multi-provider dispatch, rate-limit handling, and guardrails on model output. Twenty years of building software, most of it lately in domains where a confidently wrong answer is worse than no answer.
A deployed MVP is worth two prototyped.
Dance like nobody is watching, code like everybody is.
Today's fashion is tomorrow's legacy.
Debugging becomes easier if you first admit that you are the problem.
The best code is no code at all.
I shoot animals, landscapes, people, and street scenes. The camera is how I stay observant.
I write AI-themed fiction and short stories when technical writing is not enough.
I have opinions about Final Fantasy, narrative design, and the overlap between games and technology.
The stack changes. The throughline doesn't. I'm usually working where backend systems, product delivery, and AI workflows collide.
Measuring model output, routing it across providers, and trusting none of it by default.
Python on the backend, TypeScript for everything else, SQL wherever the data lives.
Async services on Kubernetes, databases picked per job, front ends in React or Svelte.
Setting technical direction and standards, then reviewing what ships against them.
Proof, in six prints.
CLI that embeds agent skills into CLAUDE.md and fails CI when the embedded content drifts.
I help teams implement AI-enabled product work, sharpen engineering practices, and build systems that survive real usage.
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