I am actually a Research Intern at Inria Valda (Inria Paris, DI ENS, CNRS) and Inria CEDAR (Inria Saclay, LIX, CNRS).
I studied Machine Learning and Applied Mathematics at Centrale Lyon (2021-2025) and at NTNU in Norway (exchange year 2023-2024).
Portfolio
Machine Learning, Deep Learning, Statistical Learning
Projects
Time Series Forecasting: Predicting solar energy production from solar pannels based on weather data @ ANEO (NTNU) Code/Report
Diffusion Model: Implement the architecture from the paper Denoising Diffusion Probabilistic Models for car image generator @ Cogito NTNU Code/Slides/Hugging Face Space
Fault Detection and Isolation: Unsupervised learning on flight anomaly detection @ Dassault Aviation (Centrale Lyon) Code/Report
Recommendation System: Building Recommendation Systems content-based filtering for CatMatch @ Cogito NTNU Code/Report
LLM Application: Building an app based on open source LLM with 3 features; Chatbot, PDF summerizer and Question Answering with PDF @ EDF Code/Hugging Face
Computer Vision: Object Detection and Tracking of football match RBK footage @ NTNU Computer Vision and Deep Learning course Code Report
Real Estate Price Prediction: Supervised learning on real estate prices with a dataset from Institut Louis Bachelier @ Centrale Lyon Machine Learning course Code/Slides
Reports
LLM Study Internship Report: LLMs survey, Transformer architecture with BERT, GPT, Fine-tuning method (LoRA) @ EDF Report
Logistic Regression and K-means explained and developed from scratch @ NTNU Machine Learning course Report/Code
Paper Review: Weak-Mamba-UNet @ NTNU Computer Vision and Deep Learning Course Slides
Analysis and prediction over data sleeping. "Quality of Sleep: A Study on How You Could Sleep Better" Essay @ NTNU Statistical Learning course Report
Exercises
Deep Learning exercices: Softmax Regression, Multi-layer neural network and CNN for image classification on MNIST dataset @ NTNU Computer Vision and Deep Learning course Code
Differential Forms on Manifolds: Cheat Sheet @ NTNU Differential Forms on Manifolds course Cheat Sheet
Optimization over Tensegrity structures: Determining the shape of the Tensegrity structure @ NTNU Optimization course Report
Computer Science
Web Development: We developed an app to allow live score following for a sport event @ Centrale Lyon Challenge Report
Computer Science projects: Image Compression, Automatic Change, Hangman Game, Hotel Management, Website Listing the Bridges of the World @ Centrale Lyon Computer Science course Code and Report
Others
Research project in physics: Study of the influence of rubber on tire wear @ Lycée Henri IV Slides
CV
Education
Exchange year @ NTNU, Trondheim, Norway 2023 - 2024
Followed courses: Computer Vision and Deep Learning, Machine Learning, Neural Networks, Differential Forms on Manifolds, Optimization, Computer Intensive Statistical Methods, Statistical Learning, Stochastic Modeling
M.S. & B.S. @ Centrale Lyon, Lyon, France 2021 - 2024
Followed courses: Machine Learning, Probability Theory, Stochastic Processes, Optimization, Applied Analysis, Numeric Analysis, Linear Algebra. Object Oriented Programming, Algorithms and data structures, Web Development.
Classe préparatoire @ Lycée Henri IV, Paris, France 2019 - 2021
MPSI - MP
High school @ Lycée Henri IV, Paris, France 2016 - 2019
Work experience
Research Scientist Intern @ Inria, ENS, CNRS and BRGM, 5 months
Extraction, structuring, and exploitation of geological data from multimodal archives
Data Scientist @ EDF, 2023, 3 months
Internship in Data Science : Study of Natural Language Processing (generation of text data)