I’ve been building software for over 20 years, mostly focused on distributed systems and helping engineering teams ship complex products reliably at scale.
Today I help organizations adopt AI across the software development lifecycle in a practical, production-ready way — beyond copilots and demos.
I’m especially interested in how AI changes the way teams design, build, test, and operate software.
Bringing agents into the SDLC deliberately: spec-driven development, harnesses and guardrails, human-in-the-loop review, and working within context-window limits. Practical ways past vibe coding.
Architecture for high-throughput, fault-tolerant systems — and the release and lifecycle practices that keep them shipping.
Focused R&D from incubation to integration — prototyping new approaches, then folding what works into your product and teams.
If you're working out where AI fits in your engineering org — or need help with the systems underneath — let's talk.