Alexandre Zouaoui is an R&D engineer and PhD-trained applied mathematician with 12 years of experience bridging computer vision, interpretable machine learning, and remote sensing. After earning an M.Sc. from Télécom Paris and advanced training at École Normale Supérieure Paris-Saclay, he completed a PhD thesis on sparse and archetypal decomposition for hyperspectral image restoration and unmixing at Inria. He has moved between research and industry roles—from vision internships and data science at STMicroelectronics to research engineering at Inria and recent positions at Data Science Experts and Neovision—bringing a strong applied research mindset to product-focused teams. His work emphasizes interpretable models for complex sensory data, combining mathematical rigor with practical weakly-supervised and segmentation techniques. Based in Grenoble, he often applies theoretical tools to real-world remote sensing problems, making sophisticated algorithms usable in production. His portfolio and website reflect a consistent thread: turning advanced signal-processing theory into robust, explainable imaging solutions.
12 years of coding experience
2 years of employment as a software developer
Télécom ParisTech
Mathématiques et Physique, Mathématiques et Physique at Lycée Sainte-Geneviève
Contributions:58 commits, 55 pushes, 3 branches in 2 years
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Alexandre Zouaoui - Research And Development Engineer at Neovision