Summary
Vincent Vandenbussche is a Senior Machine Learning Engineer with a PhD in Physics and a decade of experience turning research-grade models into production-grade products across industries from healthcare and automotive to luxury retail. He has led and scaled AI teams, built real-time computer vision and GenAI pipelines that process millions of documents, and designed end-to-end systems on AWS including vector search, Bedrock-based agents, and hybrid mobile deployments. Known for moving prototypes into robust production (and for authoring The Regularization Cookbook), he pairs deep theoretical grounding with pragmatic engineering—shipping APIs, evaluation tooling, and reusable libraries that accelerate teams. Based in Paris, he also brings hands-on experience in satellite-image segmentation, AR/real-time inference, and personalization engines that directly impact revenue, reflecting a rare blend of scientific rigor and product-focused execution.
9 years of coding experience
12 years of employment as a software developer
PhD Physics, PhD Physics at Université Paris-Saclay
Blockchain development, Blockchain development at Alyra, l'école blockchain & IA
French, English