Summary
Arnaud De Myttenaere is a Staff Machine Learning Engineer and PhD in Computational and Applied Mathematics with 13 years’ experience building real-time, large-scale anti-fraud systems from Barcelona. He’s a proven leader who has designed production ranking and detection models at Amazon and Apple, earned Apple’s Innovation Employee Award for fraud-fighting, and mentored/hired extensively across top tech teams. A serial problem-solver and founder, he built a text-mining library that outperformed major public tools and powered classification for multiple European marketplaces. His work bridges rigorous academic research—1500+ citations and frequent internal conference talks—with hands-on deployment, and he’s an experienced challenge competitor with multiple wins on Kaggle and datascience.net. Notably, he combines deep theoretical grounding with pragmatic engineering to automate detection of account farming, spam and financial fraud at scale.
13 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Computational and Applied Mathematics, Doctor of Philosophy (PhD) Computational and Applied Mathematics at University of Paris I: Panthéon-Sorbonne
Master by research (MVA) Machine Learning, Master by research (MVA) Machine Learning at École Normale Supérieure Paris-Saclay
MP*, MP* at lycée Fabert
Software engineering & Cloud computing, Software engineering & Cloud computing at Ecole normale supérieure
Data Science, Data Science at ENSAE Paris
lycée + CPGE Bac S - MP*, lycée + CPGE Bac S - MP* at Prytanée National Militaire