amrou chouchene

Designed and deployed Artificial Intelligence models and algorithms to compute tracking data of American Football players from broadcast videos. Collaborated with cross-functional teams to integrate advanced AI/ML models into scalable platforms for sports analytics.

Leveraged Computer Vision techniques to develop and implement cutting-edge solutions for detecting fraudulent actions in retail environments. Integrated classification, segmentation, and retrieval modules into a cohesive pipeline to detect fraudulent activities.

Worked on retail basket images captured by cameras to detect, segment, and recognize barcodes using advanced computer vision techniques and OCR. Leveraged cutting-edge algorithms to accurately isolate barcodes from complex backgrounds and ensure precise recognition of encoded information.

Completed a Master M2 in Mathematics, Vision, and Learning (MVA) with a double diploma from Telecom Paris. Focused on advanced topics including Computer Vision, Deep Learning, Reinforcement Learning, Graphs, Probabilistic Models, Statistics, and Optimisation.

Obtained an Engineering Degree with a double diploma from Ecole Polytechnique de Tunisie, specializing in Data Science and Image. Coursework included Deep Learning, Machine Learning, Statistics & Optimisation, Data Mining, Computer Vision, Medical Imaging, and Graph Mining.

Completed a multidisciplinary engineering degree, covering essential subjects such as Machine Learning, Mathematics for engineers, Programming Languages, Data mining, and Operational Research.