Building What Matters
Senior software engineer. Agentic engineering practitioner. Building AI tools for the billion women whose doctors don't understand menopause.
About Me
I'm a senior software engineer with a background in data engineering and large-scale systems. I started at Intel as an intern, built my way up through Cylance, Cox Automotive, and Flashpoint, and at every stop I was doing the same thing: unifying messy data sources, building pipelines, and making information usable. At Cox Automotive, I connected 20+ APIs to help the Maryland DMV identify unrepaired safety recalls. At Flashpoint, I built a real-time breach detection system spanning 35 billion records.
In 2021, I stepped away from tech. I traveled, took care of myself, and eventually started rebuilding, this time with intention. I completed three Coursera AI specializations covering LLM architectures, agentic AI, and responsible AI development. Then I started building.
Meno is a full-stack healthcare application that helps women navigate menopause, an experience that affects over a billion women worldwide, most of whom are dismissed by a healthcare system that doesn't understand them. Meno combines symptom tracking, appointment preparation, a provider directory, and an AI-powered Q&A tool backed by a RAG pipeline searching 10,000+ research documents. I built it using an agentic engineering workflow with Claude Code, and I'm actively developing it toward launch.
What I'm looking for: I want to work on problems where technology genuinely helps people, especially in healthcare, where the gap between what AI can do and what patients actually receive is enormous. I bring a decade of data engineering experience, hands-on LLM and RAG expertise, and a disciplined process for building with AI without losing understanding of the codebase.