• M2 recherche - MVA: Ecole Normale Supérieure P-S – Paris, 2025–2026 🇫🇷
  
  • Major: Math, Learning, Vision
• MEng (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
  • Distinction: Valedictorian
• High School: Pioneer School – Gafsa, 2016–2020 🇹🇳
  
  • Distinction: Valedictorian

• Research Intern: Feb 25 – Now 🇨🇭
  
  • Lab: Machine Learning and Optimization (MLO) at EPFL
  • Supervisor: Prof. Martin Jaggi
  • Focus: efficient pre-training, Transformers, knowledge distillation, reasoning, GRPO
  • Contribution (so far): paper on robust transformer architectures, published at NeurIPS'25
• Swiss AI Initiative Member: Feb 25 – Now 🇨🇭
  
  • Definition: Initiative between EPFL and ETHZ, powered by CSCS ALPS
  • Role: Core member of the LLM team
  • Focus: mainly pre-training
  • Contribution (so far): Apertus - Fully open-source, compliant, and multilingual LLMs (8B, 70B)
• Research Intern: July 24 – Jan 25 🇦🇪
  
  • Lab: AI theory team of Technology Innovation Institute
  • Supervisor: Dr. MEA Seddik
  • Focus: Knowledge Distillation, scalable optimization and parametrization, LLM pre-training
  • Contribution: Falcon3 family of open-weight LMs [1b, 3b, 7b, 10b] proves transfer learning efficiency (SOTA performance on many tasks)
    Undisclosed technical report...

Download my PDF resume (Dec 2025)