Matthieu Plein is a Data Analyst and Data Scientist based in Luxembourg with 12 years of experience bridging research and production in AI, MLOps, and software security. He holds a PhD in Computer Science from the University of Luxembourg, where he published on vulnerability prediction and built an open-source ML framework for vulnerability detection. Matthieu has moved research into practice—designing MLOps platforms, templating CI/CD for AI, and industrializing model migrations at Sopra Steria before joining the Administration des Contributions Directes. He co-organizes the MLOps community in Luxembourg and has deep hands-on experience managing ML pipelines, servers, Git workflows and supervising research teams. Notably, his background spans temporal graph indexing and smart-grid optimization, reflecting a taste for applied, security-aware ML across diverse domains.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Excellent, Doctor of Philosophy - PhD, Computer Science, Excellent at Université du Luxembourg
certificat en Ingénieurie, Génie Logiciel Informatique, Certificat obtenue, certificat en Ingénieurie, Génie Logiciel Informatique, Certificat obtenue at École Polytechnique de Montréal
Diplome d'ingénieur, Sciences Informatiques, Diplome d'ingénieur, Sciences Informatiques at Polytech'Nice-Sophia
Contributions:7 releases, 61 commits, 1 PR in 11 months
patchbugbountysecuritygatheringvulnerability
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