Ch Chudant
Freelance Rust And Performance Engineer
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolCh Chudant is a freelance Rust and performance engineer based in Paris with a decade of experience specializing in low-level systems programming, SIMD-heavy x86 assembly (AVX512, AMX), and compiler-informed optimizations. He has shipped production-grade Rust projects for confidential AI workloads and ZKP cryptography, including contributions to the open-source tract inference engine where he added ONNX operators and hand-written AVX512 assembly. Comfortable across C++, assembly, and Rust, he pairs deep CPU microarchitecture knowledge with practical security experience in Intel SGX and AMD SEV. Beyond crunching kernels, he brings reverse-engineering and security insight from game modding and vulnerability research, enabling pragmatic fixes and exploit-resistant designs.
10 years of coding experience
4 years of employment as a software developer
Engineer's degree Computer Science, Engineer's degree Computer Science at 42
Github Skills (7)
rust10
onnx10
tensorflow10
neural-network9
artificial-intelligence9
rust-lang9
machine-learning8
Programming languages (12)
Github contributions (5)
sonos/tract
May 2022 - Dec 2022
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:10 reviews, 17 commits, 10 PRs in 6 months
Contributions summary:Ch contributed to the `sonos/tract` repository, focusing on expanding the ONNX operator support. They implemented the "nearest" interpolator for the Resize ONNX operator, adding functionality for image resizing within the inference framework. The user also added and refactored the NonMaxSuppression operator, addressing output shape issues and fixing inference problems. Furthermore, they added the Multinomial operator.
rust-libraryno-nonsenseself-containedrustdeep-learning
SkyBeastMC/CommandCreator
Feb 2017 - Jul 2017
Contributions:2 releases, 18 commits, 17 pushes in 5 months
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