Twenty years turning chaos into systems. Now I build them with AI.

The story

I started where systems are built, not where they're pitched. At Amazon I moved billions of events a day; at Adobe I built a recommendation engine from scratch. That decade in data taught me the thing that still shapes everything I make — strategy is only as good as the system underneath it.

So I went up the stack — BI, growth, product — and eventually took marketing at ChainGPT from manual to AI-native in six months, growing a team from one person to fifteen. Along the way I co-founded W3B Lab and scaled it into Europe's largest blockchain community. Three startups. A million raised. The title kept changing; the work never did.

Most teams don't fail for lack of ideas. They fail because they never get to build the fundamentals properly.

That was the pattern behind every team I'd led: smart people, too busy firefighting to do the real work. AI was the first thing powerful enough to remove that constraint. So I stopped advising and started building — to prove, with my own hands, that the answer isn't more prompts. It's systems.

Today I build full-time: 25+ production AI systems in three months — SaaS platforms, CLI tools, multi-agent pipelines, open source. Not slides about AI. Software that runs.