I design AI products.
Then I ship them.
13+ years at Google, BMW, and enterprise fintech — then I designed and engineered aiOS end to end, solo: the design system, the codebase, the agent architecture. One hand, zero handoffs.
Watch what shipped
The full walkthrough in four chapters — skip around like stories. Everything shown is live in production, narrated by me.
Selected work
Four products, one thesis: complex AI that feels simple.
aiOS — an AI employee that runs your business
Founded, designed, and coded an agentic AI platform spanning iMessage, web, and voice — live in production with enterprise deployments. The RTR Vehicles deployment resolves 92% of support conversations automatically.
AI-powered banking for 127 credit unions
Conversational onboarding, AI design companions, and an enterprise platform serving 8M+ members — replacing form-wizard banking UX with natural conversation.
Design foundations for AI at scale
Unified five ML/AI product teams onto one design system — 67 foundation components with 85% adoption, built for AI capabilities that didn't exist yet.
Smart EV charging for a smarter grid
BMW's first dynamic charging experience — ML-scheduled charging that cut peak-hour load 87% while guaranteeing a full battery by morning.
My design philosophy
I believe AI should amplify human capability, not replace it. My career has been one continuous thesis: software should feel like a conversation, not a form. I prototyped conversational banking at Lumin, built design foundations for AI products at Google — and then went and built the whole operating system myself.
“It's less important what AI can do. It's more important how it makes people feel.”
What working with aiOS feels like
A real conversation, rendered with the production iMessage engine I built.
Two texts in. A morning of work out.
This is the whole product thesis in one thread: the owner sends two short texts, and a morning of work happens — leads qualified, a follow-up drafted for approval, content queued and posted. The human approves; the machine executes.
No dashboard. No prompt engineering. The most-used surface of aiOS is the one every business owner already checks eighty times a day.
One brain, every department
Six digital employees, one brain — the live component, straight from the aiOS production codebase.
