Emmanuel Benazera is a CEO and former AI researcher with over a decade of experience building production-grade AI systems for clients across aerospace, cybersecurity, art institutions, hardware manufacturers and startups. He founded Jolibrain to deliver open-source, bullet-proof automation solutions grounded in research areas like decision under uncertainty, robotics, optimization and distributed systems. His background includes research and engineering roles at CNRS, CNES, DFKI, NASA Ames and Inria, where he worked on robotic autonomy, stochastic optimization and diagnostics for high-stakes systems. Emmanuel blends deep academic training (PhD in AI) with hands-on product and engineering leadership, having co-founded and led multiple startups and R&D teams. He emphasizes pragmatic, collaborative A-teams that tackle problems with no off-the-shelf solution and publishes all products as open source. A less obvious strength is his sustained focus on making research reproducible and deployable in industry-grade systems across international teams.
12 years of coding experience
7 years of employment as a software developer
PhD, Computer Science, Artificial Intelligence, PhD, Computer Science, Artificial Intelligence at LAAS-CNRS / University Toulouse Paul-Sabatier
MD, Applied Mathematics & Statistics, MD, Applied Mathematics & Statistics at University Paris-Dauphine
Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers
Contributions:7 reviews, 434 commits, 73 PRs in 6 years 8 months
Contributions:21 commits, 3 pushes in 5 years 6 months
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