Engineer turned PPC practitioner turned AI systems architect.

I graduated from Cornell's engineering school in 1994 and spent 11 years as an officer in the U.S. Army Corps of Engineers, deploying worldwide and learning how to build systems that work under pressure. After the Army, I moved into operations and financial planning at Frito-Lay, then into digital marketing — where I've been since 2007.

Before I ever touched a Google Ads account, I spent years in lean manufacturing and operations at Frito-Lay North America — optimizing processes, eliminating waste, and building systems that scaled. When I eventually hit the scaling wall in PPC, I didn't reach for another tool. I reached for the same operational thinking I'd used on production lines. The AI agents are new. The methodology isn't.

For the past 8+ years, I've been deep in PPC management, currently overseeing 118 accounts with over $40M in ad spend managed across my career. That volume forced me to solve a problem most PPC practitioners talk about but few actually address: how do you maintain quality at scale without burning out or building a large team?

The answer was AI. Not the "paste this into ChatGPT" version. Real operational AI — multi-agent architecture built with Claude Code, orchestrated by a structured playbook, running in production every day on real accounts with real money.

I was among the first million ChatGPT users in November 2022. I've progressed from basic automation with Make.com to building what is now a 22-agent, 63-skill system that represents some of the most advanced AI agent orchestration in the PPC industry. I built it for myself because I had to. Now I help other PPC operators design theirs.