I'm a Rust engineer and maintainer of Burn, an open-source deep learning framework written in Rust.
I work on speech recognition and ML inference, building fast, portable systems that run everywhere from servers to embedded devices.
- Burn: deep learning framework in Rust. I contribute across the stack: ops, backends, ONNX import, WASM,
no_std, and performance. - burn-onnx: ONNX model importer for Burn with broad model coverage, codegen, and GPU/CPU correctness.
- burn-store: model weights import/export in Burn with zero-copy loading, quantized tensor storage, and mixed-precision support.
- wordchipper: HPC BPE tokenizer in Rust, up to 9x faster than tiktoken, with
no_std, WASM, and Python bindings. - Speech recognition: applying Burn to real-world audio and ASR pipelines.
- hstats: lightweight online histograms and stats for data streams,
no_stdand parallel-friendly.
- Systems programming in Rust (
no_std, SIMD, WASM) - ML inference and model portability
- Deep learning framework internals
- Speech and audio processing
