Summary
Nicolas Kowalski is a Senior ML Engineer with 12 years of experience building high-throughput, production-ready ML systems and specializing in NLP and Generative AI. Currently on WhatsApp Business Integrity at Meta, he applies research-driven approaches to real-world safety and moderation challenges. Previously at Criteo he balanced research translation and platform engineering—optimizing TensorFlow models for sub-5ms serving, scaling retraining pipelines for thousands of models, and pioneering multilingual transfer learning for content tagging. His background includes a PhD in applied mathematics and years of C++ R&D work on meshing and partitioning algorithms, reflecting a rare blend of deep mathematical rigor and large-scale software engineering. Known for mentoring engineers and turning cutting-edge papers into product direction, he consistently bridges research, product needs, and operational constraints. Based in Île-de-France, he brings both low-level performance tuning and high-level ML strategy to production safety and recommendation systems.
12 years of coding experience
8 years of employment as a software developer
Engineer’s Degree Mathematics and Computer Science, Engineer’s Degree Mathematics and Computer Science at National School of Computer Science and Applied Mathematics of Grenoble
Master’s Degree Mathematics and Computer Science, Master’s Degree Mathematics and Computer Science at Université Grenoble Alpes
Classe Préparatoire aux Grandes Ecoles, Classe Préparatoire aux Grandes Ecoles at Lycée Albert Schweitzer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at Pierre and Marie Curie University
English, French, Spanish, German