Maximilian Welsch
Consultant at d-fine
Darmstadt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolMaximilian Welsch is a consultant and PhD-trained physicist with 10 years of experience building data-driven software for high-throughput scientific environments. He combines expertise in Python-based statistical analysis and visualization with collaborative C++ development for the Belle II experiment, and practical experience deploying data pipelines on HTCondor and LSF. His background spans academic research, industry data science, and consulting, including work on multivariate ML methods (TensorFlow, xgboost) and hyperparameter optimization. Based in Darmstadt, he brings a track record of turning complex experimental workflows into reproducible, scalable pipelines and has taught and supervised students while publishing and presenting internationally. An understated strength is his fluency across both research-grade software engineering and production-oriented pipeline orchestration, enabling seamless handoffs between physics analysis and operational deployment.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Elementary Particle Physics, 1.3, Bachelor of Science - BS, Elementary Particle Physics, 1.3 at Karlsruhe Institute of Technology (KIT)Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The University of Bonn
Github Skills (12)
datasets7
batch6
cubic-splines6
fits6
splines5
approximation4
smoothing4
cubic3
python3
scheduling3
smooth3
interpolation1
Programming languages (1)
Github contributions (5)
welschma/TemplateFitter
Dec 2018 - Dec 2022
Perform template likelihood fits on binned datasets to extract contribution to the dataset from different processes .
Contributions:106 commits, 9 PRs, 84 pushes in 4 years
datasetsdatasetfitslikelihood
welschma/NNFlow
Jan 2017 - Mar 2021
Contributions:1 release, 14 commits, 10 pushes in 4 years 2 months
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