Hi, I'm David.
Full-stack & ML Engineer passionate about building impactful AI systems.

Hey, I'm David. I build AI systems that make it into production.

I'm currently finishing my Bachelor's in Information Systems at TUM, where I focus on the intersection of data, software, and intelligent systems. Along the way, I did my research and wrote my thesis at Harvard Medical School, exploring how neural rendering can improve registration during brain surgery.

Over the past few years, I've worked across startups, corporates, and venture labs, where I was building everything from ML pipelines for self-driving cars to LLM-driven products for legal and investment workflows. My recent focus has been on AI infrastructure, evaluation, and reasoning systems: how to get from "it works on my laptop" to "it scales in production".

But my journey hasn't been just about the tech. As president of TUM.ai, one of Europe's largest AI student initiatives, I helped grow a community of people who genuinely want to shape the future of AI. We built products, hosted summits, coached startups, and learned how powerful it is when curiosity meets execution.

I like to think of myself as a builder first; someone who loves connecting research ideas with real-world impact. Whether that means training models, architecting systems, or leading teams, I care about the process of turning ideas into real impact.

Outside of work, I spend time on side projects that mix tech and purpose. As an example: creating decentralized hotlines for Ukrainian refugees, or tools that simplify cross-border legal understanding. I also have a habit of joining hackathons just to learn faster and meet new people who think differently (and in extreme situations :D).

I'm currently exploring what's next. Somewhere between deep tech, product building, and applied research. My long-term vision is to build systems and companies that push how humans and AI reason together.

If that sounds like your kind of journey, feel free to connect.