Builder, not theorist.

I came to AI through building. Not through research papers, not through consulting engagements — through the desperate need to solve a real business problem.

As a real estate professional at William Raveis in the Boston area, I needed technology that didn't exist. So I built it. A platform spanning over 2,000 pages, running 18 AI agents, managing an entire real estate operation — from market analysis to client communication to property research. Not a prototype. A full production system that runs every day.

That experience taught me something most AI consultants never learn: the gap between “this works in a demo” and “this runs in production” is where 90% of AI projects die. Strategy decks don't close that gap. Building does.

I developed a multi-agent framework that applies coordination patterns found in nature — the same fractal branching, spiral optimization, and self-similar scaling that biological systems have refined over billions of years. These patterns give AI agents structured ways to research, plan, build, and operate complex systems reliably.

Now I help other businesses do what I did for mine: deploy AI systems that actually work. Not chatbots. Not copilots. Multi-agent systems that automate real workflows, integrate with existing tools, and deliver measurable results from day one.