Shawn Yang is a Staff Engineer with a decade of experience building high-performance distributed systems for AI, specializing in LLM training, inference, and reinforcement learning. Based in Hangzhou and currently at Ant Group, he combines deep scientific computing skills (Pandas, NumPy, JAX, Dask, Mars) with production-grade big data engines like Spark and Flink to deliver scalable multimodal frameworks and video processing pipelines. As founder and PMC chair of Apache Fory and an active contributor to Ray—where he implemented streaming data transfer between actors and cross-language integration—he bridges open-source innovation with enterprise needs. Known for designing low-latency inference serving systems and custom multimodal compute engines, he brings both systems-level rigor and practical DevOps experience to large-scale AI deployments.
10 years of coding experience
学士, 电磁场与无线技术, 学士, 电磁场与无线技术 at 电子科技大学
Bachelor's degree, Bachelor's degree at University of Electronic Science and Technology of China
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:187 reviews, 77 commits, 96 PRs in 2 years 5 months
Contributions summary:Shawn contributed to the streaming data transfer functionality, implementing data streaming between actors, integrating it with Python, and incorporating a Java-based component. They worked on streaming data transfer, python integration, and made changes to the execution graph for streaming jobs. The user also fixed a path issue related to the plasma store server.
A system for parallel and distributed Python that unifies the ML ecosystem.
Contributions:334 commits, 15 PRs, 100 pushes in 11 months
unifiesraypythondata-scienceparallel
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