I'm an AI Product Builder with a background spanning software engineering, product management, developer platforms, and enterprise AI.
I like messy problems where the solution is not obvious yet. I usually start by figuring out what needs to be built, then prototype, test, and keep going until there is something real to evaluate.
Enterprise AI change-management system that analyzes policy changes, identifies affected people and systems, supports human review and approval, and preserves an auditable decision trail.
Healthcare AI agent simulator for stress-testing agents with synthetic patient conversations and evaluating launch readiness across a structured scenario suite.
Local-first AI memory and operations system with cited RAG, hybrid retrieval, multi-source ingestion, automated evals, observability, and local/cloud model switching.
Daily AI agent that searches 100+ company ATS boards, scores roles against a resume and preferences, and learns from applied and not-interested feedback.
Full-stack social listening app for a group working through Rolling Stone's 500 Greatest Albums.
Python, FastAPI, LangGraph, LLM APIs, RAG, evals, Qdrant, PostgreSQL, Next.js, React, Docker, AWS, and Terraform.
The tools change. I care more about choosing the right architecture, building something useful, and being able to explain why it works.
I started as a software engineer, spent years building API platforms and developer experiences at Target, moved into product and enterprise AI at Gap Inc., and never really stopped wanting to build things.