Summary
Balázs Kocsis is a Manager of AI Orchestration based in Munich with 11 years of experience bridging physics-driven research and production-grade ML systems. Trained as a physicist and materials scientist (Dr. rer. nat.), he began by wrangling X-ray diffraction and vibrational spectroscopy data and now specializes in integrating deep learning into OCR, computer vision, and NLP pipelines. He has progressed from hands-on Python development and data science roles to team leadership at CHECK24 and now leads AI orchestration at HARMAN, combining model deployment, MLOps, and cross-functional delivery. Comfortable with the full ML lifecycle, he pairs scientific rigor with pragmatic engineering to move models from prototype to scalable production. A polyglot researcher-practitioner who has worked across academia and industry, he brings uncommon depth in experimental data handling to applied AI problems.
11 years of coding experience
9 years of employment as a software developer
Physics Degree Physics, Physics Degree Physics at University of Novi Sad, Faculty of Sciences
Doctor of Science (Dr. Rer. Nat.) Nano/Materials Science/Crystallography/Biomineralization, Doctor of Science (Dr. Rer. Nat.) Nano/Materials Science/Crystallography/Biomineralization at Ludwig-Maximilians-Universität München
Visiting Scholar Earth Sciences/ Material Science, Visiting Scholar Earth Sciences/ Material Science at Washington University in St. Louis
Master of Science - MS Materials Science, Master of Science - MS Materials Science at Università degli Studi di Torino
English, German, Hungarian, Serbian