Marius Helf
Principal Machine Learning Engineer at Xomnia
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMarius Helf is a Principal Machine Learning Engineer based in Amsterdam with nine years of experience building end-to-end ML systems, particularly focused on the energy transition. At Xomnia he has progressed from Chief Data Scientist to Principal ML Engineer, leading technical delivery from first line of code through production deployment and scaling AI projects. He combines hands-on engineering (including early-career C++/CUDA work) with team and company building—helping grow Xomnia from a small shop into a recognized AI consultancy. Marius also brings a unique human-performance perspective as a certified Wim Hof Method instructor, blending resilience practices with technical leadership. His background in both platform development and customer-facing analytics enables him to translate complex domain problems into practical, deployable ML solutions.
8 years of coding experience
9 years of employment as a software developer
Diplom Angewandte Informatik, Diplom Angewandte Informatik at TU Dortmund UniversityLevel 2 Certified Wim Hof Method Instructor Health and Physical Education/Fitness, Level 2 Certified Wim Hof Method Instructor Health and Physical Education/Fitness at Wim Hof Method Academy
Italian, English, German, Dutch
Github Skills (46)
gmm9
python-dictionary9
prediction9
threaded8
rust8
python8
probabilistic8
naive-bayes8
dataframes8
dataframe8
polars8
intellij7
katakana7
plugin7
backport6
Programming languages (3)
Github contributions (5)
mariushelf/bcdict
Mar 2022 - Sep 2022
Python dictionary with broadcast support
Contributions:8 releases, 86 commits, 2 PRs in 5 months
dictionarypython310crosswordpythonkatakana
mariushelf/graphlib_backport
Oct 2020 - May 2021
Backport of the Python 3.9 graphlib module to Python 3.6+ and pypy3.
Contributions:1 release, 21 commits, 5 PRs in 7 months
pythonbackportgraphlibpython-3-6python-3-9
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