Most AI never makes it past a demo. The version that runs for paying customers — on their stack, with their messy data, surviving their edge cases — is the version I build.
The person behind the work — and what I actually do.
I've spent twelve years making complex enterprise technology work for real customers. For the last two, I've been shipping AI — building tools with Claude / Codex inside a live enterprise product used by real companies. Not demos in a lab.
I work at the intersection of AI, solutions engineering, and customer success. I'm drawn to the moment a painful manual workflow becomes automated and invisible — and to the quiet work of making a demo survive contact with production.
I'm not a traditional engineer. I use AI as a force multiplier — Claude and Codex write most of the code, I bring the design, the customer context, and the judgment to ship it end-to-end.
My value isn't writing the framework — it's understanding the business problem, designing the right AI solution, and shipping it inside a real product. I'm the person who turns "we should automate this" into something running in production by Friday.
Twelve years across four enterprise software companies.
Things I'm building — shipped, half-shipped, and quietly in progress.
A two-sided marketplace connecting consumers to real-time merchant deals nearby. The startup I'm building as a personal project. React Native, Supabase, AI-assisted development end to end — a deliberate test of what shipping with AI actually looks like.
A Claude / Codex agent that classifies severity, pulls the likely fix, and drafts the reply in your team's voice. Built from my own day-in-the-life pain in the support queue.
Structured outputs plus a careful rubric → match score, gap analysis, and sharp improvement suggestions. Built because hiring is broken in both directions.
My personal AI hub for running the day — meetings, notes, customer replies, priorities — in one screen. Built because I had six tools open and was still missing things.
The fastest ways to reach me.
Open to Implementation, Solutions Engineering, Forward Deployed, and AI deployment roles in the Bay Area. Always happy to talk through an interesting problem over coffee.