Summary
Clement Arnarez is a DevOps and Platform Engineer with 11 years of experience building and operating cloud-native data platforms, pipelines, and computational stacks across industries from retail to aviation. He has transitioned from academic computational science (PhD and postdocs in biophysics) into production ML and data engineering, combining strong research-grade modeling and simulation skills with pragmatic industrialization of Data Science models. Clement has held roles spanning machine learning, platform, and senior data engineering positions at firms like Xomnia, HEMA, and Air France-KLM, and is now focused on DevOps at Polars in Amsterdam. He is particularly adept at turning complex scientific workflows into automated, monitored production systems and has a long track record of scripting and tooling for large-scale simulations and data processing. A quiet differentiator is his deep background in computational physics and supercomputer-scale simulation, which informs a methodical, performance-minded approach to cloud architecture and MLOps.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biophysics, Doctor of Philosophy (Ph.D.) Biophysics at University of Groningen
Bachelor in Physics and Chemistry Quantum Chemistry General Physics and Biophysics, Bachelor in Physics and Chemistry Quantum Chemistry General Physics and Biophysics at University of Bordeaux 1
Master in Chemistry and Informatics Quantum Chemistry and Computational Science, Master in Chemistry and Informatics Quantum Chemistry and Computational Science at University of Nancy 1