József Pintér is a mathematician-turned-machine-learning engineer with 14 years of experience, currently serving as Deputy Head of Science and Technology at HSDSLab while pursuing a PhD in mathematics. He combines deep theoretical expertise in graph theory and cryptography—researching color-avoiding connectivity—with practical MLOps skills, from data cleaning and model training (sklearn, xgboost, keras, tpot) to deployment via FastAPI and Streamlit. As a teaching assistant, he also brings strong pedagogy, having taught linear algebra, analysis, geometry, probability, algorithms and data science. Known for blending interpretable ML with rigorous math, he moves models into production and makes complex results accessible to stakeholders. Based in Budapest, he bridges academic research and hands-on engineering, often implementing end-to-end solutions that reveal surprising mathematical structure in applied problems.
14 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Budapest University of Technology and Economics
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