Wall Street to Berlin. Boardroom to Codebase.

I started my career at Deutsche Bank in New York, where I learned how large organizations think about risk, scale, and operational excellence. The analytical rigor stuck with me, but so did the realization that I wanted to build things, not just analyze them.

I moved to Berlin and took a detour into hospitality operations, leading the turnaround of a hotel group. That's where I learned the hardest lesson in technology: the best system in the world is useless if it doesn't solve real business problems for real people.

When I came back to tech, I came back as a builder. Co-founded a fintech startup, built healthcare platforms serving 100K+ daily users, shipped AI products, managed 10TB+ data infrastructure with 200+ scheduled queries. Each project reinforced the same lesson: shipping fast is good, but shipping something that lasts is better.

Then AI changed the game. Not the hype—the actual workflow. I discovered that the combination of deep engineering experience and AI-assisted development created something genuinely new. I could build production systems solo that previously required teams. Not because AI replaced the judgment—but because it amplified it.

Today I focus on AI-native product engineering: building production systems, writing about what I learn, and helping teams adopt AI tools that actually make them more productive.