Stefan Kesselheim
Head Of AI Consultants Team at Forschungszentrum Jülich
Aachen, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolStefan Kesselheim is a Head of AI Consultants with 15 years of experience blending analytics, software engineering, and research-driven methods to deliver AI and autonomous systems from lab to production. Based in Aachen, he leads teams at Forschungszentrum Jülich after building perception frameworks, datacenter pipelines, and a novel deep-learning method for road quality assessment at StreetScooter. His background in computational soft matter physics and core contributions to the ESPResSo simulation package underscore strong numerical and HPC skills rarely found in typical AI leads. Stefan pairs hands-on C++ and Linux/open-source expertise with product-minded leadership, bridging deep technical problem solving and stakeholder-driven delivery in automotive and energy domains.
15 years of coding experience
11 years of employment as a software developer
Technische Universität KaiserslauternDiplom, eq. M. Sc., Physics, Diplom, eq. M. Sc., Physics at RWTH Aachen University
German, English, French, Italian
Github Skills (8)
simulations10
simulation10
c-language10
physics10
cprogramming-language10
simulator10
scientific-computing9
numerical-methods8
Programming languages (2)
Github contributions (5)
espressomd/espresso
Mar 2011 - May 2014
The ESPResSo package
Role in this project:
Back-end Developer
Back-end DeveloperContributions:184 commits in 3 years 2 months
Contributions summary:Stefan primarily corrected bugs within the ESPResSo package, specifically addressing issues in the pore constraint functionality within the C++ source code. They modified files such as `constraint.h` and `constraint.c`, indicating a focus on the physics simulation logic. Additionally, the user made a micro-change in the pore constraint which likely improved numerical stability. They also contributed to the lattice Boltzmann (LB) implementations.
physicssoft-matterpythonmolecular-dynamicsscientific-computing
HelmholtzAI-FZJ/MLPerf
Sep 2021 - May 2022
Contributions:1 PR, 22 pushes in 7 months
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