About Me

I am currently pursuing a M.Sc. in Applied Mathematics department at École Polytechnique / l'X in Artificial Intelligence and Data Science under the direction of Pr. Rémi Flamary, prof. in the CMAP Laboratory, and Pr. Éric Moulines and pursuing MVA (Mathematics, Vision and Learning) program at ENS Paris-Saclay. I have a Diplôme d'Ingénieur (M.Eng.) in Computer Science at National Polytechnic Institute of Toulouse - ENSEEIHT, where I majored in High Performance Computing, Big Data. Additionally, I am enrolled in specialized courses on Bayesian analysis, decision theory, and stochastic filtering at the Ecole Nationale de Météorologie.

My research interests lie in the fields of Computer Vision, Core Machine Learning, Conversational AI, Natural Language Processing (NLP) and Speech & Audio. I'm particularly interested in generative AI, large language models and its very large applications.

Additionally, I am a Co-Founder at MetaLettre.

Education

École Polytechnique x ENS Paris-Saclay | Palaiseau x Saclay2024 - 2025

  • M.Sc in Applied Mathematics, Artificial Intelligence, and Data Science and M.Sc. MVA (Mathematics, Vision and Learning)
  • Specialization in cutting-edge topics such as machine learning, deep learning, computer vision, natural language processing, and statistical machine learning.
  • Classes at École Polytechnique, Télécom Paris, ENSTA, ENSAE, ENS Ulm, ENS Paris-Saclay, Collège de France, Centrale-Supélec

National Polytechnic Institute, ENSEEIHT | Toulouse 2021 - 2024

  • M.Eng in Computer Science and Applied Mathematics, majored in High Performance Computing, Artificial Intelligence and Big Data
  • Ranked in the top 5%.
  • GPA 3.8/4.0

University of Tsing Hua | Taiwan 2022 - 2023

  • 1st year M.Sc in Computer Science, Artificial Intelligence and Applied Mathematics.
  • GPA 3.6/4.0.

Classe Préparatoire aux Grandes Écoles, Charlemagne | Paris 2019 - 2021

  • 2 intensive years of Mathematics, Physics, Engineering Science and Computer Science.
  • Ranked in the top 5%.
  • GPA 4.0/4.0.

Work Experience

Research Scientist in Artificial Intelligence, @ National University of Singapore (NUS) Mar. 2024 - Sep. 2024

  • Designed and implemented an efficient checkpointing scheme for deep neural networks (DNNs) using Delta-LoRA and LC-checkpoint techniques.
  • Optimized storage and recovery processes by integrating quantization, priority promotion, and Huffman encoding.
  • Fine-tuned and evaluated image classification models, including Vision Transformers (ViT), ResNets, LeNet-5, VGG16, and AlexNet, under various compression and checkpointing configurations.

Research Assistant in Artificial Intelligence, @ CNRS x @IRIT Jan. 2024 - Apr. 2024

  • Implemented naturalness prediction methods based on acoustic indices, leveraging outputs from VGGish and Scikit-maad algorithms.
  • Conducted extensive time series data analysis and applied dimensionality reduction techniques (PCA, t-SNE, UMAP) to visualize high-dimensional data.
  • Explored clustering methods (Hierarchical, k-Means, Spectral) to identify hidden patterns within acoustic datasets.
  • Developed and optimized classification models (Decision Tree, Random Forest) through cross-validation for enhanced predictive accuracy.
  • Validated predictions for each site using Pretrained Audio Neural Networks (PANNs) to ensure robustness and reliability of naturalness metrics.

Research Engineer in Optimization Research, @ LAAS-CNRSJun. 2023 - Sep. 2023

  • Developed an interactive generic optimization algorithm for a constraint satisfaction problem.
  • Explored and applied different approaches exploiting data (Machine Learning, Spanning Tree, Decision Tree..) to enhance decision-making insights.
  • Collaborated with other researchers to develop a new simulation system for combinatorial optimization.

Founder Associate, French Start-up @ StudiomapJun. 2022 - Sep. 2022

  • Leveraged sales insights and data analytics to orchestrate effective pricing strategies.
  • Spearheaded competitive analysis across diverse domains and extracted insights through web scraping.
  • Innovated site and app enhancements using Figma, elevating user experience.

Certifications