Research Scientist Intern Candidate / Engineering Student
Master Mathématiques, Vision, Apprentissage (MVA)
Leading Mathematics, Vision, Learning algorithm Master.
Engineering Degree - GPA: 4/4
Spécialisations : Image Processing, Signal Processing, Artificial Intelligence.
Classes Préparatoires aux Grandes Écoles, MPSI-MP*
ANFR (Agence Nationale des Fréquences) - Paris
Contrôle du spectre fréquentiel et labellisation d'équipements pour les Jeux Olympiques et Paralympiques.
Freelance
Cours particuliers en mathématiques et physique pour étudiants au collège, lycée et cycle préparatoire.
Implementation of NCSN and Diffusion models. Evaluation of generation and inpainting capabilities on the MedMNIST benchmark.
Development of a multimodal Deep Learning framework (GCN + SciBERT) with contrastive loss to align molecular graph embeddings and textual descriptions.
Implementation of SimCLR and Barlow Twins methods. Evaluation of self-supervised learning effectiveness on the MedMNIST dataset.
Fraudulent transaction classification on a 300k-row DataFrame (Random Forest, feature engineering). Ranked 3rd out of 25 teams (F1 score: 69%).
Development of a sign language recognition prototype using the MediaPipe library and training of a Random Forest model.
Algorithmic implementation of the method detailed in the paper "Object Removal by Exemplar-Based Inpainting" (A. Criminisi et al.).
Assembly (Raspberry Pi, motors), GPIO configuration, and Python code design for remote control and automatic navigation via beacon detection.