Georg Heimel is a Staff Data Scientist based in Berlin with nine years in industry and a deep academic pedigree including a PhD in Physical Engineering and postdoctoral research at MIT and Georgia Tech. He builds production-ready big-data platforms and ML solutions, with experience spanning lambda architectures, real-time supply-demand systems, aerial imagery road recognition, and ranking/search at scale. Georg moved from a long research career in computational physics and quantum chemistry into applied data science, bringing rigorous experimental design and simulation instincts to product problems. At Delivery Hero and Sparks42 he shipped data infrastructure and models for high-throughput environments, and now applies that blend of research discipline and engineering pragmatism at DebtRay. Less obvious: his background in materials simulation often informs principled approaches to model validation and uncertainty quantification in production ML.
9 years of coding experience
10 years of employment as a software developer
Doktor (Ph.D.), Physical Engineering, with honors, Doktor (Ph.D.), Physical Engineering, with honors at Technische Universität Graz
Physics, Physics at Université Joseph Fourier (Grenoble I)
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