Learning AI by Building
19+ years building and scaling service businesses in legal tech, logistics, and disaster restoration. Former CEO and COO. Scaled to $45M in annual revenue with global presence.
In 2020, COVID hit hard—reducing revenue by 25%. Throughout the second half of 2020, we rebuilt the business to be more digital, remote-compliant, and resilient. In 2021, we had our best year in both revenue and profit—all without any layoffs.
Exited to PE-backed strategic acquirer.
What I'm good at: Building company operating systems that scale. I love Moneyball—break the business into its most basic formula, display it on public dashboards with clear owners and expectations.
Government should work in service of citizens and businesses. Understand what people want, deliver those outcomes. Let AI handle the 95% routine work, humans focus on high-attention 5% scenarios.
I learn by building: research, prototype, build, seek feedback, iterate brutally honestly.
Each project: 2-4 working sessions over 1-2 days. Then iterate and solicit feedback, always aiming to be brutally honest about what works.
h/t Matthew McConaughey on the "Greenlights" name—I enjoy consulting, but it's more fulfilling to own the outcome.
Open to co-working on projects and solving real problems with great teams.
I'm obsessed with the idea of people going "founder mode" on their own problems—like someone with a rare disease who seeks to "dent the universe" by building the right team to improve outcomes for themselves and others.
Roles where operational experience + AI fluency + bias toward action matter:
Particularly interested in companies building foundational AI tools.