Mounir Bendali-braham
R&D Developer In AI at Imki
Strasbourg, Grand Est, France
Summary
👤
Senior🎓
Top SchoolMounir Bendali-braham is a PhD-trained Data Scientist with nine years of experience specializing in deep learning, computer vision and generative AI, now consulting at Davidson Digital and embedded in Euro-Information’s Cognitive Factory. He combines academic rigor from a thesis on crowd behavior analysis with practical Python engineering to bring ML models from research to production. His background spans teaching university courses in algorithms and web development, building search engines and obstacle detectors, and crafting data-driven methods during research internships, reflecting a blend of theory and hands-on systems work. Based in Strasbourg, he’s comfortable moving between prototype research and enterprise deployments, and his trajectory suggests a knack for turning complex video and crowd-sensing problems into operational solutions.
9 years of coding experience
Master 2 Traitement de l'Information et Exploitation des Données, Science des données, Master 2 Traitement de l'Information et Exploitation des Données, Science des données at Université de Versailles Saint-Quentin-en-YvelinesLicence, Mathématiques et Informatique (Option: Informatique Académique), Licence, Mathématiques et Informatique (Option: Informatique Académique) at Université des Sciences et de la Technologie 'Houari Boumediène'Master en Systèmes Informatiques Intelligents, Artificial Intelligence, Master en Systèmes Informatiques Intelligents, Artificial Intelligence at Université des Sciences et de la Technologie 'Houari Boumediène'Doctorat, Computer Science, Doctorat, Computer Science at Université de Haute-Alsace
French, Arabic, English
Github Skills (94)
python10
image-processing10
deep-learning10
computer-vision10
data-science10
tensorflow10
pytorch10
machine-learning10
ml9
neural-network9
jax9
opencv9
gpu9
deep-neural-networks9
object-detection-api8
Programming languages (7)
Github contributions (5)
MounirB/OpticalFlow-SpeedTest
Mar 2019 - Feb 2021
This is a script which tests the speed of multiple optical flow extraction methods. support both single-thread and multi-thread
Contributions:6 pushes in 1 year 11 months
extractionpythonspeedsingle-threadoptical-flow
MounirB/Clustabs
Jan 2018 - Dec 2018
Contributions:19 pushes, 1 branch in 11 months
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