Balint Pataki is a Senior Software Engineer based in Budapest with nine years of experience applying machine learning to real-world problems across research and industry. Currently at Google working on Cloud AI and Agentspace after contributing to Vertex AI Search & Conversation and RAG systems, he blends production ML engineering with a strong research pedigree. His PhD in Physics (summa cum laude) underpins diverse applied research projects—from genomics and medical imaging to cosmology and wearable sensor analysis—demonstrating an ability to translate complex models into practical solutions. He has experience building privacy-preserving federated learning components and optimizing algorithmic trading strategies, reflecting a rare mix of privacy-aware systems thinking and quantitative rigor. Known for teaching ML courses earlier in his career, he pairs effective mentorship with hands-on delivery at cloud scale.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Physics - machine learning, summa cum laude, Doctor of Philosophy - PhD, Physics - machine learning, summa cum laude at Eötvös Loránd University
The official repository of Deep learning and machine learning in science (deeplea17em) course @ ELTE.
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