I've spent more than two decades building technology products across every layer of the stack — from data infrastructure for Gemini at Google, to consumer AI at LinkedIn, to a three-sided marketplace platform at DoorDash, to a startup I founded and took from zero to revenue in 2012. That range taught me that hard problems are rarely solved by technology alone.
Background
I currently lead data product management at Google, serving the machine learning, experimentation, and analytics needs of some of the largest consumer experiences in the world — including Gemini's training data infrastructure.
Before Google, I was Head of Data Products at DoorDash, where I built the data platform underpinning a three-sided marketplace across consumers, merchants, and drivers. Before that, I spent four years at LinkedIn as Principal PM leading AI-powered analytics and guidance products.
In 2012 — before most enterprises had an AI strategy — I founded Nimeyo, an enterprise AI chatbot company for sales, support, and services. We sold into Cisco, Okta, Citrix, and others. That early work taught me where AI actually breaks: not in the model, but in the data, the org, and the decisions around both.
I began my career as a chip designer at Sun Microsystems, eventually working up through servers, operating systems, and virtualization. That full-stack foundation shapes how I see AI today — from the silicon underneath it to the business decisions it enables.
Experience
PM Lead, AI Foundations · Gemini training data
DoorDash
Head of Data Products
Principal PM, AI Analytics & Guidance
Nimeyo Inc.
Founder & CEO · Enterprise AI
Sun Microsystems / Oracle
Engineering → Senior Manager · UltraSPARC, OS, virtualization
Teaching
AI in Business
Northeastern University · D'Amore-McKim School of Business
The Business of AI
UC Santa Cruz Extension
Education
MBA
Haas School of Business, UC Berkeley
MS, Electrical & Computer Engineering
University of Massachusetts Amherst