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Aymane Hamdaoui

Student @ MVA ENS Paris-Sacaly | Télécom Paris

Hello 👋 ! I'm Aymane, a passionate student specializing in mathematics applied to Machine Learning and Data Science. I am currently a student at ENS Paris-Saclay in Master 2 (M2) MVA (Mathématiques Vision Apprentissage), a leading program in the field. Welcome to my portfolio!

About Me

I'm a student at Télécom Paris, one of France's top engineering schools, where I'm pursuing an engineering degree in computer science with a focus on signal processing for AI and computer vision. I am also currently enrolled in the MVA (Mathematics, Vision, Learning) master's program at ENS Paris-Saclay for the academic year 2025-2026.

I am deeply passionated about the intersection of mathematics, machine learning, and computer science. My academic journey has equipped me with a strong foundation in these areas, and I am eager to apply this knowledge to solve real-world problems. I love exploring fields where these disciplines can be applied, such as medical imaging, natural language processing, and generative models.

In my spare time, I'm usually playing sports or video games. I also enjoy participating in hackathons and coding challenges to sharpen my skills and collaborate with like-minded individuals. I have already done so and I performed quite well and enjoyed it a lot!

Notable Projects

Semantic Stylegan
A small project that aimed to give a semantic meaning to the different dimensions of the latent space of StyleGAN2.
PythonPyTorchGANs
Pathology Prediction from MRI
Implemented a method to predict pathologies from MRIs and ranked 2nd out of 70+ students in a competition.
PythonMachine LearningClassification problemsMedical Imaging
Musical Suggestion
A music recommendation system based on song lyrics using simple techniques as compressed distance.
PythonTypeScriptHTMLCSSGenius APICompressed distance
Neural Network from Scratch
A simple implementation of a feedforward neural network from scratch in Python using only NumPy.
PythonNumPyNeural NetworksDeep Learning
Segmentation on 3D cardiac MRI
A project focused on segmenting 3D cardiac MRI images using only classical computer vision techniques.
PythonTensorFlowKerasMedical Imaging
PowerDot Hackathon - 2nd place
A project that aimed to predict failures and maintenance needs of electric vehicle charging stations. During this hackathon organized at Central Supéléc, we ranked 2nd.
TypeScriptReactNext.jsTailwind CSS

Education & Experience

Education

Master in applied Mathematics, Vision, and Learning

MVA - ENS Paris-Saclay

2025 - 2026

MVA is a prestigious master's program focused on the mathematical foundations of machine learning and computer vision. It could be defined as a master pushing towards research and industry careers in AI.