Summary
Laurent Parmentier is a Montreal-based Data Scientist with nine years of experience blending research-grade AutoML and hands-on production ML engineering in cloud and DevOps environments. At OVHcloud he moved projects from legacy systems to production, leads anomaly detection efforts for network devices and DDoS mitigation, and shepherded network crash prediction for large-scale Cisco infrastructure. His CIFRE PhD on AutoML produced conference papers and patent filings, signaling both theoretical depth and practical IP contributions. Earlier roles range from building Hadoop-based anomaly detection and QA tooling to automating infrastructure and delivering high-traffic email and web platforms, giving him fluency across data pipelines, monitoring, and deployment. He’s comfortable taking ownership when teams change—stepping into lead-maintainer roles—and keeps expanding his production environment and operations expertise through side projects.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Network and Security Software, Master of Science - MS, Network and Security Software at Université de Caen Basse Normandie
Baccalauréat Scientifique (High School), Math specialty, Baccalauréat Scientifique (High School), Math specialty at Frédéric Kirschleger
Doctor of Philosophy - PhD, Computer Science - Artificial Intelligence, Doctor of Philosophy - PhD, Computer Science - Artificial Intelligence at University of Lille 1 Sciences and Technology
Bachelor degree in Computer Science, Bachelor degree in Computer Science at Université des Sciences et Technologies de Lille (Lille I)
Master of Engineering - MEng, Electronic Money and IT Security, Master of Engineering - MEng, Electronic Money and IT Security at ENSICAEN - Ecole Nationale Supérieure d'Ingénieurs de Caen
French, English, German