Open Switch
LLM gateway with circuit breakers, half-open probes, hedged requests, cost-aware routing, per-key budgets, and request traces.
AI engineer and full stack developer
I build agents, guardrails, evals, and computer vision pipelines, then sit with the people using them until the thing actually works. Most of my time goes into the part after the demo.
Selected work
LLM gateway with circuit breakers, half-open probes, hedged requests, cost-aware routing, per-key budgets, and request traces.
Typo tolerant hybrid search with faceted filters that runs fully in the browser.
LLM evaluation runner with its own YAML check format, flakiness detection, and a pull request gate that writes a Markdown report.
FX exposure and hedging engine with a quantile forecast that is honest about what it cannot predict.
Multilingual AI agent that answers student enquiries, fills a CRM, and hands off decisions to a counselor.
Schema-first code generator where deterministic structure keeps the LLM focused on application logic.
How I work
01
My worst bugs passed every mocked test. I run the real provider, unintercepted, before I call anything done.
02
If a rule matters, code checks it after generation. Prompts ask nicely. Validators refuse.
03
Every report I write lists what it can't claim. A 0.55 AUC gets reported as a coin flip, not rounded up.
04
I've shipped to factory floors, school offices, and police briefings. The spec is whatever they actually need on day two.