Platforms, governed. Tools, shipped. Same hands.
I turn fragmented digital capability into durable, governed platforms — and personally build the production AI tools that prove it. Born in the trenches. Still in them.
platformsLexus & Toyota build & priceTwo brands, one aging configurator, and an asset pipeline that topped out in the hundreds.jd power best in class · ~700k monthly users
ai toolsJira velocity intelligenceJira forgets your velocity after six sprints. The fix was never a bigger context window.420k-token problem → postgres + api
ai toolsT1 triage botEight scrum teams, a rotating triage duty, and severity calls that depended on who was on shift.~90% less manual routing · ~99% acceptedPlatform product lead for the Lexus.com ecosystem (~7–8M monthly users) across a 98-person digital organization and eight teams, with a product owner discipline I founded and scaled from one role to six. And underneath that, the part most leadership resumes can't say: I write the specs, define the data models, and ship the production tools myself — 17 of them running on an internal AWS container platform — through agentic workflows, on 14+ years of hand-written code.
The industry has started calling this work forward deployed — embedded with the client, deploying production AI systems, training the org on adoption. I operate at the intersection of architecture and strategy, not just code. It's product ownership at platform scale, done agency-side.
Identify a real pain point, architect a durable system, spec it precisely, and use AI to collapse the distance between vision and execution.
Every case study ends with the insight that wasn't obvious going in. They're collected in one place — the insights index — if you want the 90-second version of how I think.