Summary
Benoît Leguay is a Senior Machine Learning Engineer based in Paris with 8 years of experience building production recommender systems and ML infrastructure at scale. At Veepee he leads personalization for 50M+ members, rebuilding Siamese recommender models in TensorFlow 2, deploying a Scala gRPC inference server with strict SLOs and handling peaks up to 200 req/s. He combines full-stack data engineering (Airflow, dbt, BigQuery, Dataflow) with deep learning (Vision Transformers, PyTorch, Hugging Face) and a strong experimentation practice across multi-country A/B tests. Previously he improved matching and predictive models at startups and has a formal background in data science and convex optimization from ECE Paris. Colleagues value his pragmatic approach to translating research into reliable, high-throughput services that directly move business metrics.
8 years of coding experience
4 years of employment as a software developer
ECE Paris
Baccalauréat, Scientifique, Baccalauréat, Scientifique at Lycée Notre Dame de Boulogne
French, English, Spanish