Summary
Yves Quemener is a freelance consultant with 14 years of experience specializing in computer vision and deep learning for robotics, blending research-minded experimentation with production-grade engineering. He has delivered solutions across academia and industry—from expansion microscopy image analysis with MIT collaborators to practical robot perception and lab automation in stealth projects—and has shipped features for Java-based DL frameworks and robot integrations. Comfortable across Python, C/C++, Rust and Java, he regularly uses PyTorch, TensorFlow and OpenCV to build SLAM, object recognition and AR systems. A founder of hardware and hackerspace projects, he pairs hands-on prototyping (suspended research/agriculture robots) with systems thinking and a taste for free software. Based in the French countryside but preferring remote work, he brings a pragmatic, research-to-product track record and a quietly utopian drive to push robot perception into real-world use.
14 years of coding experience
16 years of employment as a software developer
Baccalauréat (High School), Baccalauréat (High School) at Notre-Dame des Victoires
Engineer Diploma in CS Computer Science, Engineer Diploma in CS Computer Science at ESIEE PARIS