Research
Sorbonne Université, 2025 to 2027
This year I'm going below the agents: GPU programming in CUDA, parallel computing with MPI, and deep learning for vision. Last year I ranked first of seventeen in System Design and validated a Rust traceroute engine at the LIP6 lab.
Sorbonne M2
GPU programming and parallel computing this year. Top of the class in System Design last year.
- CUDA
- MPI
- PyTorch
Caracat at LIP6
With a teammate, compared Caracat, an open-source Rust traceroute-probing engine, with its C++ predecessor Caracal and found matching outputs across ICMP, UDP, IPv4 and IPv6. Part of a four-person team project supervised by Timur Friedman (Dioptra). Graded 86/100, third of twelve.
BirdCLEF+ 2026
Classical ML pipeline classifying 206 bird species from 35.5K+ recordings with librosa features; benchmarked five models and reached 0.922 macro ROC-AUC (5-fold CV).