Summary
Raef Mousheimish is Head of Data and AI Operations in Paris with 11 years of hands-on experience turning research-grade data science into production systems for startups and industry. He holds a PhD from Université de Versailles (Paris-Saclay) in real-time analysis and data mining and has led cross-functional teams to deliver adaptive, time-sensitive business process solutions. His background spans applied research on proactive event processing and violation prediction for high-value logistics (including museum artifact transport) through to building backend services and databases in production. Raef combines deep academic rigor with practical engineering—frequently working part-time on product code and freelance projects to broaden his toolkit. He is known for obsessing over state-of-the-art CS solutions and consistently ranking top of his classes, which translates into a rigorous, metrics-driven approach to operationalizing AI.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Adaptive Data-Aware Business Processes, Doctor of Philosophy (Ph.D.), Adaptive Data-Aware Business Processes at Université de Versailles Saint-Quentin-en-Yvelines
Data Management, Data Management at Ecole polytechnique
Master’s Degree, Master 2 Research - Information and Decision Support System, Very Good, Master’s Degree, Master 2 Research - Information and Decision Support System, Very Good at Lebanese University
English, French, Arabic