Summary
Philipp Müller is a Data Scientist and ML Engineer with 10 years of experience combining rigorous academic research and hands-on software development. Currently at Haufe Group, he brings expertise from a PhD candidacy in Statistical Learning and Data Science where he focused on AutoML, hyperparameter and multi-objective optimization. He has a solid engineering background from roles in ML research labs and industry, contributing to experiment-driven projects, CI/CD, testing, and full-stack development. Trained as a computer scientist with top grades and an earlier professional qualification in nursing, he pairs analytical depth with a practical, systems-oriented mindset. Philipp is comfortable moving models from research into production and enjoys improving ML tooling and workflows to make algorithms more reliable and reproducible. Based in Penzberg, Bavaria, he blends academic rigor with product-focused engineering to solve complex optimization and automation challenges.
10 years of coding experience
Staatsexamen, Gesundheits- und Krankenpflegeausbildung (Nursing Training), 1.0, Staatsexamen, Gesundheits- und Krankenpflegeausbildung (Nursing Training), 1.0 at Stauferklinikum Schwäbisch Gmünd
Master of Science - MS, Computer Science, 1.2, Master of Science - MS, Computer Science, 1.2 at Albert-Ludwigs-Universität Freiburg
English, German