CV

You can download the complete pdf version of my CV.

Education

• MSc in Artificial Intelligence at CentraleSupélec, Gif-sur-Yvette France, 2025 (expected)
• Engineering M.S specialized in Computer Science and SYstems at ENSEA, Cergy France, 2023
• Preparatory class for the Grande Écoles at Lycée Chaptal - Maths Physics star class, 2019

Academic projects

• CentraleSupélec - Lab Project : Fairness in Generative Graph Machine Learning
  • Designed and implemented an evaluation pipeline of fairness in GeML models, focusing on architectures like VGAE and diffusion models.
  • Utilized PyTorch Geometric to manage graph data structures and build GNN architectures for tasks such as node classification.
  • Collaborated with CVN and Inria OPIS, with guidance from researchers to align the project in AI ethics and fairness.
• CentraleSupélec - Research Project: Explainability in AI Models Gif-sur-Yvette, France
  • Designed a framework aiming to enhance interpretability in image classification by decomposing model decisions into spatial attributions.
  • Applied the method on various vision models (e.g., ResNet, DenseNet) and validated its robustness under common explainability methods.
• CentraleSupélec - AI Challenge
  • Developed a heuristic AI for a board game implementing algorithms like Alpha-Beta pruning, with potential for more complex strategies.
• ENSEA - Cross-disciplinary software project
  • Creation of a clone of the “Terraforming Mars” board game in C++, featuring basic, heuristic, and advanced AI strategies

Work experience

• Starting May 2025 : Incoming Research Internship: Graph-based Modeling of Multimodal Epilepsy Patient Data
  • INRIA - OPIS Team (CVN) in collaboration with Institut Imagine, Gif-sur-Yvette, France
  • Participation in a research project focused on adapting multimodal medical data.
    • Adapting EEG, MRI, clinical annotations into graph structures.
    • Enable representation learning for epilepsy diagnosis and progression prediction using Graph Neural Networks.
    • Integration of heterogeneous data modalities and application of state-of-the-art GNN architectures.
• February 2023 - September 2024: Business Intelligence Consultant affiliated with various missions
  • POLARYS- Business Intelligence consulting firm, Paris, France
  • Christian DIOR Couture: Tech Lead within an AGILE project for data visualization:
    • Optimization of KPIs calculation times on PowerBI (DAX query execution times).
    • Integration of data into PowerBI data flows, and management of dataset updates.
    • Production of an automated daily report for the Americas execution committee.
  • Eaton Corporation : Configuration of payroll data flows using SaaS SQL stored procedures for ETL and Azure Data Factory.
  • Ardian: Migration of an integration solution (private equity company) using SSIS.
• May 2022 - August 2022: Digital Marketing Project Manager Assistant
  • LOGIQ DIGITAL AFRICA, Casablanca Morocco
  • Participation in a project to create an internal Web platform:
  • Participation in a project to develop a lead retrieval application for a banking institution:

Skills

• Python
  • Pytorch, Pytorch Geometric
  • Tensorflow, Keras
  • Scipy
• C, C++