about

Five years ago, I co-founded Poker Scientist and architected a sophisticated SaaS platform that transformed complex Game Theory Optimal strategies into actionable insights for thousands of players worldwide. Leading the technical vision—from Next.js frontend architecture to integrating custom Nash equilibrium calculators—taught me that great engineering isn't about technology choices, it's about solving hard problems elegantly.

Today, I'm applying that engineering rigor to the AI frontier. With fresh expertise from Le Wagon's Data Science bootcamp and deep exploration of agentic workflows, I'm focused on building AI systems that integrate reliably into real applications. My current work spans Claude Code agents, LangChain implementations, and spec-driven development—always with an eye toward production-grade solutions, not just proofs of concept.

I'm an autodidact with Asperger's, which means I see patterns others miss and pursue understanding with uncommon intensity. I'm looking for a forward-thinking Berlin team where I can combine full-stack mastery, AI innovation, and product instincts to build the next generation of intelligent applications—particularly systems that bridge human decision-making with agent automation.

My development approach is rooted in pragmatism and user empathy. I believe great software isn't measured by technical complexity—it's measured by user value. I focus on shipping functional products quickly, iterating based on real feedback.

I value clarity over cleverness. Clean, maintainable code that solves real problems beats elegant abstractions. I embrace modern technologies not because they're trendy, but because they enable me to build better products faster.