Laurent Mazare
Chief Technology Officer
Paris, Ile-de-France
Summary
🤩
RockstarLaurent Mazare is a pragmatic CTO based in Paris with 13 years of hands-on experience building backend systems and production-ready ML infrastructure. He leads Kyutai’s technical strategy while contributing deeply to open-source projects, notably developing core features for Moshi, a streaming speech-text foundation model and full‑duplex dialogue framework. Comfortable in Rust and ML engineering, Laurent has improved compiler lints in rust-clippy and added KV cache support to the minimalist Candle ML framework, reflecting a focus on performance, correctness, and efficient model decoding. He combines systems-level rigor with research-adjacent work on quantization, device orchestration, and streaming audio codecs, making him as fluent in low-level optimization as in shaping product-grade AI platforms.
13 years of coding experience
Github Skills (24)
pytorch10
system-configuration10
python10
boolean-logic10
machine-learning10
inference10
custom-configuration10
trainings10
lint10
model-optimization10
configurations10
rust10
yml-configuration10
modeling10
data-structure9
Programming languages (10)
Github contributions (5)
kyutai-labs/moshi
Sep 2024 - Apr 2025
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 20 reviews, 99 PRs in 6 months
Contributions summary:Laurent primarily contributed to the core functionalities of a speech-text foundation model and spoken dialogue framework, moshi. The commits demonstrate the user's involvement in configuring and instantiating language models (LMs), integrating them with Encodec models. They also focused on adjusting quantization configurations and implementing proper device handling and various testing and generation workflows demonstrating expertise in machine learning, model training and the supporting infrastructure.
huggingface/candle
Jun 2023 - Apr 2025
Minimalist ML framework for Rust
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:595 reviews, 2696 PRs, 3308 pushes in 1 year 9 months
Contributions summary:Laurent's commits focus on the implementation of a KV cache to the T5 model within the "candle" repository. Their work involved adding and integrating a KV cache for decoding, suggesting the use of release mode, and adding comments. The primary focus of their work is on the minimal ML framework for Rust, which indicates this user is likely involved in developing the framework's core backend and is involved with machine learning model optimization.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.