Real architecture.
Real guardrails.
Real ship dates.
AI-native engineer and technical program leader. CS degree, 20+ years driving cross-functional software delivery, and recent hands-on production experience building LLM-integrated systems. I build the system and I drive the program around it.
Production Python/FastAPI platform that monitors a portfolio of startups and surfaces fractional CTO opportunities through LLM analysis. Multi-dimensional Technical Readiness Scoring (LGPS), human-in-the-loop outreach governance, and ethical AI guardrails that actively prevent over-contact. Designed and shipped end-to-end.
Local-first AI job briefing tool. Aggregates listings from four sources, scores them against a candidate profile using Claude, and delivers a ranked daily briefing. Demonstrates multi-source ingestion, LLM scoring pipelines, and APScheduler-driven automation.
Three native iOS apps built with offline-first architecture, Core Data, UserNotifications, and Apple IAP. Product thinking embedded from day one — full PRDs, user stories, and acceptance criteria for each.
Not a career pivot.
A convergence.
I spent 20 years learning why software products succeed or fail — the strategy, the stakeholder dynamics, the documentation, the cross-functional tension. Then AI tools made it possible to combine that context with hands-on engineering again. I didn't just return to coding. I returned with two decades of understanding that most engineers never acquire.
Full story + resume →