Xinyu Zhang is a software engineer and committer focused on building robust AI agent and distributed inference systems, with six years of experience across startups and major tech firms in the Bay Area. Currently contributing fault-tolerant multi-node inference via an SGLang Ray backend and supporting frontier RL and inference at Anyscale, Xinyu blends production-grade distributed systems work with research-forward ML tooling. Previously founded an AI agents startup and shipped large-scale GenAI personalization and ads infrastructure at Meta, including a statistically significant matching algorithm for ad efficiency. Trained across top institutions (CMU, MIT, UC Berkeley) and experienced in high-performance media and 3D graphics, Xinyu pairs systems-level engineering with product curiosity—“thinking about how to build cool product all day.”
6 years of coding experience
3 years of employment as a software developer
Bachelor's degree EECS, Bachelor's degree EECS at University of California, Berkeley
Informatics, Informatics at Technical University of Munich
Master's of Computational Data Science, Master's of Computational Data Science at Carnegie Mellon University School of Computer Science
Advanced Study Computer Science, Advanced Study Computer Science at Massachusetts Institute of Technology
Bachelor's degree Information Science and Technology, Bachelor's degree Information Science and Technology at Southeast University
Contributions:20 pushes, 2 branches in 1 year 1 month
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Xinyu Zhang - Member Of Special Project at Anyscale