Passionate about machine learning, reinforcement learning, and building intelligent systems. I combine mathematical rigor with hands-on engineering to solve real-world problems.
Master's student in Mathematics, Data Analysis, and Learning at the Faculty of Sciences, Rabat (UM5). I bring a strong background in applied mathematics, optimization, and statistical learning to the field of AI.
Highly motivated to develop machine learning and reinforcement learning methods for modeling, prediction, and control of real-world dynamical systems.
Presented a critical analysis of the paper by Clémot, Digne & Tierny (arXiv:2502.20215) in the Master MADA seminar at UM5 Rabat. The work extends Topological Autoencoders (TopoAE) to faithfully preserve 1-dimensional topological cycles.