🎓 MVA Master's Student @ ENS Paris-Saclay
💻 Machine Learning · Deep Learning · Computer Vision · LLMs
🔍 Looking for a first job in AI / ML
🎓 I'm currently pursuing a Master’s degree in Mathematics, Vision, and Learning (MVA) at ENS Paris-Saclay, one of the top AI programs in Europe.
🔬 I’m passionate about:
- 🧠 Large Language Models, Transformers, Mamba
- 🖼️ Computer Vision and Embedded AI
- ⚙️ Optimization and Distributed Training
- 📊 Building robust ML systems that scale
🧪 Actively looking for full-time opportunities in applied research or engineering roles.
- 🛰️ Research Intern @ Thales
Distributed training and segmentation using PyTorch & mmsegmentation - 🤖 LLM Intern @ Polynom
Fine-tuning open LLMs, RAG systems, and NLP pipelines - 📄 Author of FICUS
Training-free few-shot classification via unsupervised segmentation
| ⭐ Project | 🚀 Description | 🏷️ Tags |
|---|---|---|
| Yubu Code | AgentOps Replay System - AI agent transparency, compliance & debugging | AI Agents, LangChain, FastAPI, Next.js, Compliance |
| FICUS | Unsupervised segmentation for few-shot classification | Computer Vision, Few-Shot, Research |
| LongGPT | Implementation of LongNet to scale sequence length >1B tokens on top of nanoGPT | LLM, Long Context, Transformer |
| DL_2023_CLAP | Experiments on Contrastive Language-Audio Pretraining (CLAP) for the DL course at IMT Atlantique | Multimodal, Contrastive Learning, Coursework |
🛠 Explore more in the Repositories tab »
"The task is, not so much to see what no one has seen yet; but to think what nobody has thought yet, about what everybody sees." - Arthur Schopenhauer