Benjamin Audren
Data Architect
Meyrin, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolBenjamin Audren is a Data Architect with 11 years of experience blending DevOps, data engineering and scientific research to help teams deliver reliable, testable systems. He brings a PhD-level background in theoretical physics and cosmology—having authored an open-source Monte Carlo code used by the community—which informs a rigorous, statistics-driven approach to data and testing. At ELCA he has driven containerization, CI/CD, modern version control and automated testing frameworks across internal teams and client projects. Comfortable presenting complex topics to technical and non-technical audiences, he has run international workshops and taught advanced Python for scientists. Colleagues rely on him to configure the advanced tooling and testing strategies that balance effort and reward while enabling scalable data solutions.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Theoretical and Mathematical Physics, Master of Science (M.Sc.), Theoretical and Mathematical Physics at Ecole normale supérieure de LyonDoctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Physics Doctoral Thesis Award, Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Physics Doctoral Thesis Award at Ecole polytechnique fédérale de LausanneAstrophysics, Astrophysics at Uppsala University
French, English, German
Github Skills (3)
nlp3
python3
machine-learning2
Github contributions (2)
baudren/advent-of-code
Nov 2020 - Nov 2022
Contributions:9 commits in 2 years
baudren/NoteOrganiser
May 2015 - Jun 2015
Contributions:17 commits in 1 month
nlppythonnote-takingmachine-learningscientific
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