Andreas Huber
AI Frameworks Engineer at Hochschule München University of Applied Sciences
Mannheim, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolAndreas Huber is an AI Frameworks Engineer at Intel with seven years of experience translating physics-grade rigor into robust software and AI tooling. He holds a PhD in High Energy Physics from institutions including CERN and the Max Planck Institute, where he analyzed proton collision data and built detector systems—skills that inform his methodical approach to complex engineering problems. Prior to Intel he shipped backend systems at parcelLab and tutors Python as an assistant lecturer, bridging research, production code, and teaching. His background as a physicist and self-described "professional copy-paster" signals a pragmatic, experiment-driven engineer who values reproducibility and rapid iteration. Based in Mannheim, Germany, he blends low-level scientific computing experience with modern AI framework development to move models from prototype to production. Notably, his career marries hands-on detector hardware work and large-scale data analysis, giving him a rare end-to-end perspective on data pipelines.
7 years of coding experience
3 years of employment as a software developer
Doctor of Science, Physics, Doctor of Science, Physics at Technical University of MunichDoctor of Science, Physics, Doctor of Science, Physics at Max Planck Institute for PhysicsMaster of Science (MS), Elementary Particle Physics, Master of Science (MS), Elementary Particle Physics at Technische Universität MünchenSemester abroad, Semester abroad at Universidad de Granada
German, English, French, Spanish
Github Skills (74)
python10
gpu10
cpp10
intel10
scikit10
big-data10
machine-learning-algorithms10
data-science10
analytics10
oneapi10
data-analysis10
machine-learning10
scikit-learn10
data-analytics9
cli9
Programming languages (5)
Github contributions (5)
ahuber21/oneDAL
Jan 2023 - Feb 2025
Contributions:118 pushes, 29 branches in 2 years 2 months
data-analyticsanalyticsdataframesdata-analysismls
ahuber21/scikit-learn-intelex
Feb 2023 - Mar 2025
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Contributions:307 pushes, 46 branches in 2 years 1 month
speeddata-scienceintelmachine-learningscikit-learn
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