

Associate at Google/WashU in St. Louis
Associate at Google/WashU in St. Louis
I spent 3+ years in Google BizOps shaping strategy for Gemini — including pricing, Deep Research, and the agentic AI investment agenda — for products used by 100M+ people. Before that, 3 years at Deloitte building AI and data strategy for Fortune 500 companies. I've seen how the biggest players in AI actually make decisions, and most of what I learned applies directly to people building far smaller things.
Right now I'm deep in one question: what happens to experts — coaches, consultants, creators — when generic AI commoditizes everything except proprietary knowledge? My working thesis is that the moat is in the data, not the model, and the most valuable untapped data sits inside experts' own content libraries.
Come to me if you're a coach or creator figuring out where AI fits in your business, a strategist breaking into AI product work, or anyone weighing a leap from a big company into something of your own. I won't hand you a playbook — I'll help you pressure-test your thinking the way I would with a peer.