Alexandre Zouaoui

Research And Development Engineer at Neovision

Grenoble, Auvergne-Rhône-Alpes, France
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Summary

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Senior
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Top School
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.
code12 years of coding experience
job2 years of employment as a software developer
bookTélécom ParisTech
bookMathématiques et Physique, Mathématiques et Physique at Lycée Sainte-Geneviève
bookMVA, Applied Mathematics, MVA, Applied Mathematics at École Normale Supérieure Paris-Saclay
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Github Skills (15)

representation-learning10
sequence-to-sequence10
natural-language-processing8
biomedical7
python7
french7
translation5
phonetics5
acl4
computational-linguistics3
speech3
machine-translation3
language-modeling3
text-generation2
pytorch2

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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alex-berard/seq2seq

Mar 2016 - May 2019

Attention-based sequence to sequence learning
Contributions:1 release, 692 commits, 505 pushes in 3 years 2 months
sequence-to-sequence
alex-berard/multivec

Sep 2015 - Feb 2018

A Multilingual and Multilevel Representation Learning Toolkit for NLP
Contributions:102 commits, 1 PR, 102 pushes in 2 years 4 months
natural-language-processingrepresentation-learning
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