Summary
Andrej Saibel is a Data Scientist and Ph.D. physicist in Munich with 10 years of experience applying ML and big-data analytics to petabyte-scale problems. He combines deep research credentials—magna cum laude doctorate and published work—with hands-on production skills in TensorFlow, PyTorch, scikit-learn and CI/CD automation for ML pipelines. Andrej has led teams up to 45 people and translated complex physics tooling into robust, cloud-ready Monte Carlo and transformer-based solutions that improved domain benchmarks by large margins. His strength is bridging scientific rigor and engineering pragmatism: designing models and infrastructure with an insistence on data quality, reproducibility, and automated deployment. Currently at Peter Park, he brings proven project leadership from major collaborations (ATLAS, DESY) to commercial ML challenges.
10 years of coding experience
7 years of employment as a software developer
Doctor rerum naturalium - Dr. rer. nat, Elementary Particle Physics, 1.0, Magna Cum Laude, Doctor rerum naturalium - Dr. rer. nat, Elementary Particle Physics, 1.0, Magna Cum Laude at University of Hamburg
Master of Science - MS, Physics, 1.0 with distinction, Master of Science - MS, Physics, 1.0 with distinction at Karlsruhe Institute of Technology (KIT)