Note: This README might be outdated. Check my CV repository for the latest information.
MSc CS @ ETH (Machine Intelligence) | Private ML/FHE Researcher | Medical AI @ MIT Jameel Clinic
I'm a Computer Science graduate from EPFL, now pursuing my MSc at ETH Zürich specializing in Machine Intelligence. I focus on privacy-preserving ML with Fully Homomorphic Encryption (FHE) and medical AI applications.
- EPFL SaCS Lab: Co-designing hybrid FHE schemes for practical ML inference (~10× latency reduction)
- MIT Jameel Clinic: Improving cancer prediction models for low-dose CT scans (AUC: 0.76 → 0.85)
- Paper: Lead co-author of "Practical and Private ML Inference with Hybrid FHE" (under review)
Python library that converts PyTorch models to hybrid-FHE equivalents with a simple 3-line API. Features GPU-parallel kernels and fast ciphertext packing.
Merged 540 source datasets into comprehensive VLA robotic dataset on Hugging Face. Built Python LeRobotDataset downloader with parquet caching.
Languages: Python · Java · C/C++ · Julia · Node.js · Bash
ML/AI: PyTorch · PyTorch Lightning · scikit-learn · CUDA · NumPy · pandas
Systems: Docker · Kubernetes · Linux · Git · AWS/GCP
Special: Fully Homomorphic Encryption (FHE) · Medical Imaging · Satellite Communications
- 🥇 Multiple Hackathon Winner: Mistral, Hugging Face, Entrepreneur First, LLM Hack
- 📚 2× Animaths France National Mathematics Competition (Top 100)
- 🏃 2× Marathon Finisher | 🏊 8km Open-Water Swim (Salina → Lipari)
- 🌍 Languages: French · English