Summary
Tamás Bitai is an AI Engineer based in Budapest with a decade of experience bridging mathematics, software engineering and applied AI in regulated industries. He has built full-stack and data-centric systems for pharma and biotech—working on bioprocess data management, visualization and analytics at Körber Pharma and now driving global business services AI projects at Thermo Fisher Scientific. His background in mathematics and a PhD in Logic and Philosophy of Science underpins a rigorous approach to model design, data pipelines and statistical validation informed by earlier biostatistics work supporting FDA filings. Comfortable across Python data stacks (NetworkX, pandas, NumPy), Django REST backends, SQL and cloud containerization, he also mentors colleagues and contributes to data science tooling like Jupyter integrations. Colleagues describe him as a practical problem-solver who translates domain complexity into robust, production-ready analytics solutions.
10 years of coding experience
10 years of employment as a software developer
Master's Degree Mathematics, Master's Degree Mathematics at University of Szeged
Doctor of Philosophy (Ph.D.) Logic and Philosophy of Science, Doctor of Philosophy (Ph.D.) Logic and Philosophy of Science at Eötvös Loránd University
German, English, Italian, Hungarian