About Me

I’m a technical product leader who started as a software engineer and still likes being close to the build.

My work has mostly lived where product, systems, and ambiguity overlap: agentic AI, developer platforms, ML infrastructure, connected hardware, and full-stack products. At Meta, I led 0-to-1 agentic AI work for Quest and Horizon OS, turning natural-language requests into constrained system actions grounded in live device context, gaze signals, and platform APIs.

Before Meta, I led platform work at Qualcomm, Ford, and Airstream. That included LLM-powered developer workflows used across large engineering organizations, Ford’s enterprise ML feature store, and Airstream’s connected-vehicle platform. The common thread was the same: take a messy workflow, understand the real constraints, and ship a system people can trust.

Right now I’m especially interested in AI agents that do more than generate text. Useful agents need context, tool access, evals, human approval, auditability, and a clear recovery path when they are wrong. Most of the hard product work is not the model. It is designing the workflow around the model.

I also build my own products. Leaguemate is an AI analytics product for dynasty fantasy football with recommendation engines, billing, and a tool-calling chat backend. Frontward is my current work on AI workflow automation for e-commerce teams.

This site is where I write about AI product strategy, platform product management, systems thinking, and the lessons that come from shipping inside large companies and small projects.

I’m based in Seattle. You can reach me on LinkedIn or by email.