Summary
Tom Palczewski is a Tech Lead and Expert AI/ML Applied Scientist specializing in generative and foundational models for structured business data and knowledge graphs, currently leading efforts at SAP to embed AI across the product portfolio. With roughly a decade of R&D experience spanning physics, computer vision, NLP, and recommender systems, he blends deep academic rigor—a PhD in Physics and collaborations with CERN, LBNL, and IceCube—with hands-on productionization at Samsung Research America. He has driven end-to-end ML systems from research prototypes to scalable services, including diffusion and contrastive models, on-device computer vision, and TV+ recommender engines. An author of Production-Ready-Applied-Deep-Learning, multiple publications and patents, he pairs technical leadership with strategic vision, mentoring teams and forging academic and industry partnerships. Notably, his background in high-energy physics and supercomputing informs a methodical approach to large-scale model engineering and novel data modalities for foundation models. Based in Berkeley, he combines research pedigree with product-focused delivery to push generative AI into practical business impact.
9 years of coding experience
12 years of employment as a software developer
Executive MBA Business Administration and Management General, Executive MBA Business Administration and Management General at Quantic School of Business and Technology
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at National Centre for Nuclear Research
Master of Science - MS Physics, Master of Science - MS Physics at University of Warsaw
Doctor of Philosophy (Ph.D.) Management Science (abd), Doctor of Philosophy (Ph.D.) Management Science (abd) at SGH Warsaw School of Economics
Polish, English