Focus & background
I work across the stack with emphasis on data-heavy services, ML-adjacent product features, and the glue (deployments, logging, runbooks) that keeps teams moving. I'm happiest when design, product, and engineering share a clear picture of trade-offs.
Skills
TypeScript & React/Next.js, Python services, FastAPI, cloud primitives, and pragmatic ML integration—retrieval, evaluation, and safe rollouts rather than one-off notebooks.
How I work
Short feedback loops, written decisions for anything irreversible, and instrumentation before tuning. I default to boring technology until the problem proves it wrong.
Principles
- Prefer simple architectures until complexity pays rent.
- Measure impact; document assumptions for the next reader.
- Keep humans in the loop when stakes are high.