// what I do
I'm a senior software engineer who builds AI-powered and or data-intensive systems in high-stakes, regulated domains. My deepest experience is in healthcare (PHI-compliant infrastructure, HIPAA-grade data exchange, high-volume transaction processing), but the same discipline carries into energy and other regulated spaces: agentic document-reasoning pipelines, LLM and RAG infrastructure, and the eval frameworks that keep them honest in production. I own things end-to-end, from architecture through deployment.
// how I work
I work best dropped into a team as a paratrooper: I have full-stack range, I'm comfortable across frontend, backend, and infrastructure, and I'm able to make an immediate impact without a long ramp. I collaborate closely with product, domain experts, and leadership to shape both the architecture and the roadmap, not just execute against a spec handed to me.
// my working philosophy
I'm drawn to software where there's a short, traceable causal loop between the code and the human outcome: a healthcare API that gets a patient the right information, or an extraction pipeline that gets an analyst the right lease terms. I believe in craftsmanship in software, and I think that matters more, not less, as AI makes it easier to ship something that merely looks correct.
// my background
I started in Mathematics and Physics at Claremont McKenna College before shifting into software full-time, training through UCSD Extension's Full-Stack Web Development boot camp. I later earned a Bachelor of Science in Computer Science from Western Governors University, completed while working full-time.