• M2 research - 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

• AI Scientist intern: Apr'26 – • 🇫🇷
  
  • Lab: Mistral AI
  • Supervisor & academic tutor: Albert Jiang & Michal Valko
  • Focus: Long horizon RL


• Research intern: Feb'25 – Jan'26 🇨🇭
  
  • Lab: Machine Learning and Optimization (MLO) at EPFL
  • Supervisor: Prof. Martin Jaggi
  • Focus: efficient pre-training, distillation, reasoning, GRPO
  • Contribution: FP8 training with robust Transformers (NeurIPS'25); Early stopping for LRMs (ICLR'26)
• Swiss AI Initiative Member: Feb'25 – March'26 🇨🇭
  
  • Definition: Initiative between EPFL and ETH, powered by ALPS cluster
  • Role: Core LLM team (pre-training)
  • Contribution: Apertus fully open family [8b, 70b]


• Research intern: July'24 – Jan'25 🇦🇪
  
  • Lab: AI theory team of TII
  • Supervisor: Dr. MEA Seddik
  • Focus: distillation, scalable optimization and parametrization, pre-training
  • Contribution: Falcon3 family of open-weight LMs [1b, 3b, 7b, 10b] proves transfer learning efficiency
    

Download my PDF resume (March 2026)