ML Engineer
Working on post-training, agentic harnesses, AI product experiences, and ML systems for frontier models.
Curriculum vitae
AI researcher and engineer building models and systems, with earlier work across physics, novel AI accelerators, and stochastic thermodynamics.
Working on post-training, agentic harnesses, AI product experiences, and ML systems for frontier models.
Research engineering on ML systems, infrastructure, and model work.
Worked on a customer-facing recommendation system based on NLP, alongside physics and computer-vision research projects.
PhD in stochastic thermodynamics, optical tweezers, and machine learning, supported by Winton and Marie Skłodowska-Curie scholarships.
Rapid prototyping of measurement devices for protein characterisation.
Developed LEED correction algorithms in Python.
Minor in computer science. Thesis in non-equilibrium thermodynamics.
M1 ICFP, including a six-month programming internship at Institut Curie.
Minor in computer science. Thesis in theoretical neuroscience.
National winner, Jugend forscht, for interdisciplinary research in holographic data storage.