Stefan Berger
Data Scientist
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolStefan Berger is a data scientist at BCG X in Munich with 14 years of engineering-focused experience that bridges computational engineering, real-time simulation, and applied machine learning. He holds a distinguished M.Sc. in Computational Engineering Science from RWTH Aachen and has applied physics-informed neural networks, parameterized PDE solvers, and numerical methods to fluid-structure problems in research settings. Stefan brings hands-on systems and embedded expertise from leading avionics and student rocketry projects—designing control systems, MPC and Kalman filters, hardware, and a vacuum arc thruster—alongside production C++ development for real-time simulations at Airbus. He contributes to open-source benchmarking tooling (improving robustness in the benchexec nitwit.py utility), showing attention to reliable measurement and tooling. Colleagues value him for translating complex physical models into deployable software and for combining rigorous academic foundations with practical, multidisciplinary engineering leadership.
13 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computational Engineering Science, German grade: 1.1, graduated with distinction, Master of Science - MS, Computational Engineering Science, German grade: 1.1, graduated with distinction at RWTH Aachen UniversityAbitur, Abitur at Max-Planck-Gymnasium Saarlouis
Github Skills (13)
measurement10
benchmark10
benchmarking10
resource-management10
python10
performance-measurement10
debug9
debugging9
command-line-interface8
command-line-tool8
command-line8
cli8
cli-tools8
Programming languages (11)
Github contributions (5)
sosy-lab/benchexec
Oct 2020 - Oct 2020
BenchExec: A Framework for Reliable Benchmarking and Resource Measurement
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 reviews, 8 commits, 1 PR in 1 day
Contributions summary:Stefan primarily contributed to the `nitwit.py` tool, which is likely part of the benchmarking framework. Their commits focused on improving the tool's functionality by refactoring, handling input files correctly, and improving the output parsing to resolve issues. They also removed a dead code path. The user also added fixes to make the `nitwit.py` tool more robust.
cgroupsbenchmarkingpythonlinuxbenchmark-framework
blizzard4591/zeusUtilities
Aug 2020 - Sep 2020
Contributions:42 commits, 3 pushes, 1 branch in 14 days
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