Haixuan Tao is a founder and French software engineer with nine years of experience building production ML/AI systems and open-source tooling, now focused on Rust-native robotics and inference runtimes. He leads 1ms.ai and authors projects like Wonnx, a WebGPU ONNX runtime in Rust that brings model inference to browsers and native platforms, and dora-rs, a dataflow-oriented robotic middleware designed for low-latency, composable pipelines. His background spans deploying AI in finance, consulting and research—shipping models at BNP Paribas, optimizing supply chains at BCG, and publishing work on mobile-data population estimation—giving him a pragmatic, cross-domain view of ML in production. As a lecturer at CentraleSupélec he teaches end-to-end AI for robotics, and his hands-on contributions include bridging Rust and Python, multithreaded APIs and tracing for complex distributed systems. Colleagues describe him as an operator-builder who turns research-grade models into practical, developer-friendly infrastructure.
9 years of coding experience
3 years of employment as a software developer
Applied Mathematics, Data Science, Applied Mathematics, Data Science at Ecole Centrale Paris
Msc Data Science & Business Analytics, Msc Data Science & Business Analytics at ESSEC - CentraleSupélec
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
Role in this project:
Back-end & DevOps Engineer
Contributions:121 releases, 534 reviews, 173 commits in 10 months
Contributions summary:Haixuan primarily focused on building out the back-end functionalities of the DORA project. Their contributions include adding a Python server and integrating it with Rust code. The user also worked on setting up output streams and multithreaded Python APIs. Furthermore, they enhanced the project with tracing capabilities and added example usage to the project with Python as well as adding testing utilities for the Python example.
Contributions:7 releases, 6 reviews, 9 PRs in 8 months
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