Education
ENS Paris-Saclay (MVA)
Master M2
2021 - Present
- MVA (Mathematics, Computer Vision, Machine Learning) is one of the best master’s program in applied mathematics that focuses on the theoretical foundations of machine learning as well as on modern developments in the field.
- Relevant coursework: Convex optimization, Large scale convex optimization, Numerical imaging, Image Denoising, Point clouds and 3D modeling, Deep Learning in practice, Kernel methods, Deep reinforcement learning, Random matrix theory, Medical imaging.
Centralesupélec
M.Eng Mathematics & Datascience
2018 - Present
- Engineering degree in applied mathematics and datascience.
- Relevant coursework: Probability, Stochastic processes, Statistics, Optimization, Advanced machine learning, NLP, Computer vision, ML in network science
National University of Singapore
Exchange semester
2020
- Exchange semester at NUS.
- Relevant coursework: Economy, Stochastic processes, Statistics for acturial science, Decision making methods
Lycée Janson de Sailly
MPSI/MP*
2016 - 2018
- Two-year intensive preparation in Maths and Physics for the highly competitive entrance exams to the French engineering Grandes Ecoles.
- Awarded the Tunisian government excellence fellowship (top 0.1% national wide)
Experience
Valeo.ai - Research intern
May 2022 - Present
Dassault systèmes - Research intern
March 2021 - August 2021
- Worked in the corporate research team on controlled generation of visual content using deep learning
- Used generative models (e.g., GANs) for image synthesis and image editing
- I tackled the subjects of GAN training with internal data, control mechanisms definition for content generation, GAN image inversion, real image editing and image similarity
- Proposed, implemented and tested meaningful improvements over the state of the art methods
Polynom - Machine learning engineer
September 2020 - February 2021
- Worked on a predictive maintenance project for a European industrial leader
- Designed and developed Computer Vision solutions to detect anomalies in electrical installations (pylons, high voltage lines) from aerial shots made up of videos of different types (HD, thermal, ..)
- Implemented and adapted state of the art methods for object detection, object tracking and anomaly detection
- set up an automatic data annotation process
