From zero to revenue, teams, and capital.
Former CEO who scaled a global data security platform from $1M to $50M ARR, working with enterprise clients across the US, Europe, and Asia. Now focused on agentic AI systems and real-world deployment at scale.
I've spent most of my career building, breaking, and rebuilding systems in the real world.
Selected Impact
$1M → $50M ARR
140+ enterprise clients
Global operations
US | Europe | Asia
Built and exited companies
Synetics (acquired by Lockheed Martin)
Hedgefund.com
Why This Matters Now
Most enterprises are not fully prepared. The real challenge now is not building AI. It is making it work reliably in production.
Work
Scaled into a global enterprise data security platform serving Fortune 2000 clients across three continents.
OriginML, Patternex (acquired by Corelight), Lola & Veranda
Synetics (acquired by Lockheed Martin), Hedgefund.com
Building High-Performance Culture
Presidents Club — Morocco 2018, Japan 2019. Recognizing the people who make meaningful work possible.
Current Focus
The real challenge now is not building AI. It is making it work reliably in production.
Perspective
"We are moving from software that assists to systems that act. Most enterprises are not ready. Execution, not capability, will define the next generation of winners."
Select Experience
Writing
We draw elaborate maps of the stack and debate models with religious solemnity, as though the secret ingredient lies among the boxes and arrows. It doesn't. Agents stop being toys when they can remember, recover, and be held accountable.
For a long time, enterprise security has been about protecting things you can see. That model made sense when software mostly did what it was told. That is starting to change.
There is a growing disconnect between how AI is discussed and how it actually performs inside enterprises. The failure is almost never the model. It is everything else.
A must-review security checklist before you deploy Openclaw. Essential guardrails and considerations for keeping your AI agent deployments secure.
Having some fun exploring the security implications of agentic AI systems. When AI agents start making autonomous decisions, the attack surface expands in unexpected ways.