Physicist (PhD, ESPCI Paris) building ML systems at scale.
I architect voice and LLM cloud inference at Sonos, and build hands-on across the stack: foundation-model inference, quantization, and browser-native ML in Rust, WASM and WebGPU. Previously AI Tech Lead at Scaleway (inference infrastructure) and co-founder & CTO of Sense AI (physics-informed sensing). Before that, experimental physics.
Now : Idle Intelligence
Independent work: time-series forecasting and browser-native inference for speech, TTS and LLMs, all client-side.
- t0-web : from-scratch browser inference engine for time-series foundation models (Rust + WebGPU); matched a published forecasting benchmark at roughly a seventh of the size
- stt-web : real-time speech-to-text, 100% in the browser (Rust + WASM + WebGPU)
- tts-web : text-to-speech, client-side
- llm-web : in-browser LLM inference, no server
- ridgeline / astres : WebGPU 3-D visualization of planetary data