• MVA (M2): ENS (Paris Saclay + ULM) – Paris, 2025–2026 🇫🇷
  
  • Major: Math, Learning, Vision
• M.S. (French eng. diploma): ENPC – Paris, 2022–2025 🇫🇷
  
  • Major: Applied Math and Machine Learning
  • Distinction: Government excellence scholarship
• Prépa (Undergraduate): Esprit Prépa – Tunis, 2020–2022 🇹🇳
  
  • Major: Math & Physics – Valedictorian
• High School: Pioneer School – Gafsa, 2016–2020 🇹🇳
  
  • Valedictorian

• Research Intern: Feb 25 – Now 🇨🇭
  
  • Lab: Machine Learning and Optimization (MLO) at EPFL
  • Supervisor: Prof. Martin Jaggi
  • Focus: FP8 training, pre-training, knowledge distillation, reasoning
  • Output (so far): NeurIPS paper (Towards Fully FP8 GEMM LLM Training at Scale)
• Swiss AI Initiative Member: Feb 25 – Now 🇨🇭
  
  • Definition: Initiative between EPFL and ETHZ, powered by CSCS ALPS
  • Role: Core member of the LLM effort
  • Focus: mainly pre-training
  • Output (so far): Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
• Research Intern: July 24 – Jan 25 🇦🇪
  
  • Lab: AI theory team of Technology Innovation Institute
  • Focus: Knowledge Distillation, scalable optimization and parametrization, LLMs pretraining
  • Output: Falcon3 family of LMs sets new SOTA perfs on many tasks and proves transfer learning efficiency
    Technical report is still undisclosed...
  • Supervisor: Dr. MEA Seddik

Download my PDF resume for more details.