ML Research Engineer.

I work across machine learning research and engineering, with a focus on scientific ML, protein AI, biological foundation models, and generative modeling.

My work also includes AI engineering and ML systems, particularly LLM inference, model serving, agentic systems, distributed infrastructure, and Kubernetes.

I am interested in the connection between mathematical foundations, model architecture, and systems engineering, from geometric representations and diffusion models to efficient inference and the infrastructure around modern ML systems.

My projects span protein modeling, biological foundation models, AI agents, databases, and systems software.

For code and technical work, visit GitHub. Connect with me on LinkedIn. For shorter technical notes and updates, find me on X, or watch my videos on YouTube

Background: about four years of experience across ML engineering, platform infrastructure and full-stack work, including founding-engineer work on a platform serving over 45,000 users. Certified Kubernetes Administrator. Two-time International Mathematical Olympiad contestant (2015, 2016), PAMO 2015 bronze medalist, and multiple-time NMC mathematics national winner. Chemistry second-round qualifier (2013). English and German (B2).