Jonas Bernhard
Machine Learning Engineer at Merantix Momentum
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolJonas Bernhard is a Machine Learning Engineer based in Berlin with eight years of hands-on experience applying data engineering, data science, and causal representation learning to production ML systems. He combines industrial experience at Stocard and Foundamental with research-focused work at Science of Intelligence, where he advanced causal representation learning during his student researcher role. Currently at Merantix Momentum, Jonas bridges academic rigor from TU Berlin and Seoul National University with practical deployment skills honed across fast-moving startups. His background in information engineering and management gives him a systems-minded approach to data pipelines and model lifecycle challenges. Colleagues describe him as someone who moves smoothly between research hypotheses and production constraints, translating causal insights into reliable products. He often brings an interdisciplinary perspective informed by study and work across Germany and South Korea.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Seoul National UniversityBachelor of Science - BS, Information Engineering and Management, Bachelor of Science - BS, Information Engineering and Management at Karlsruhe Institute of Technology (KIT)Master of Science - MS, Information Systems Management - Data Science and Engineering Track, Master of Science - MS, Information Systems Management - Data Science and Engineering Track at Technische Universität Berlin
English, German, French, Russian
Github Skills (35)
rest-api10
server10
restify9
rest9
api9
geojson8
nodejs8
computational-geometry7
geospatial7
gis7
nlp6
tesseract6
javascript6
react5
native-module5
Programming languages (6)
Github contributions (5)
yolibernal/spectionary
May 2022 - May 2022
Contributions:47 commits, 5 pushes in 1 day
yolibernal/scmodels
Jul 2022 - Nov 2024
Python Package to build Structural Causal Models (SCM).
Contributions:2 PRs, 3 pushes, 3 branches in 2 years 3 months
pythoncausal-modelscausalscmstructural
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