Thomas Rudolf is a development engineer specializing in Big Data and AI with 10 years of experience bridging research and product engineering in intelligent control and data-driven systems. He holds advanced degrees from KIT and Chalmers and completed a PhD-focused stint researching reinforcement learning, energy management for fuel cell hybrid vehicles, and behavior planning for highly automated driving. At Porsche Engineering he translates academic methods into production-ready ML and software solutions, drawing on prior research roles at FZI and hands-on control systems experience from SEW-EURODRIVE. Colleagues value his ability to navigate both theoretical reinforcement-learning frameworks and pragmatic engineering constraints to optimize dynamic systems. Based in Stuttgart, he combines deep domain expertise in automotive energy and autonomy with a practical bent for deploying data-driven development pipelines.
10 years of coding experience
6 years of employment as a software developer
Electric Power Engineering (M.Sc. Programme), Electric Power Engineering (M.Sc. Programme) at Chalmers tekniska högskola
Ph.D. Candidate, Electrical Engineering and Information Technology, Ph.D. Candidate, Electrical Engineering and Information Technology at Karlsruher Institut für Technologie (KIT)
Docker containers for an easy, distribution-independent, and reproducible ROS development environment.
Contributions:5 pushes, 1 branch in 3 years
containersros2independentpodmandocker
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Thomas Rudolf - Development Engineer - Big Data & AI