Summary
Benoit Seguin is a Staff Software Engineer with 11 years of experience at the intersection of applied machine learning and computer vision, currently based in Chiyoda, Japan. He combines deep academic credentials—a PhD work at EPFL on making large art-historical photo archives searchable—with hands-on industry leadership as a former CTO and multiple senior engineering roles at Google. Benoit has a strong track record of turning research into production: building end-to-end deep-learning systems for large-scale image search and accelerating imaging pipelines for scientific applications. He has also operated as an independent ML/data consultant and lecturer, bridging academic insight with product-focused engineering. Known for practical creativity, he often frames visual-search problems around user-defined similarity rather than just classification, enabling more flexible retrieval systems. Fluent in both research and production best practices, he excels at shipping scalable ML solutions that make large image collections discoverable and useful.
11 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Ecole polytechnique fédérale de Lausanne
Ingénieur de l'Ecole Polytechnique, Mathematics and Computer Science, Ingénieur de l'Ecole Polytechnique, Mathematics and Computer Science at Ecole polytechnique
French, English, Japanese