Xinhao Luo is a software engineer with a decade of experience building scalable infrastructure and edge AI solutions, currently focused on fleet orchestration in Sunnyvale. He has driven platform scalability and on-prem AI deployments at Matroid and contributed reliability work at TikTok and IBM, spanning Go back-ends, AWS-managed Kubernetes, and distributed GPU model scaling. An active open-source contributor, he maintains integrations for the popular RSSHub project—implementing resilient API interactions, cookie/caching strategies, and rate-limit handling for third-party services. His academic track record (BS at RPI, MS at UC San Diego) and mentoring roles reflect a strong foundation in algorithms and teaching, while internships refined his front-end and Electron performance skills. Colleagues describe him as pragmatic and detail-oriented, with a knack for turning custom integrations into reusable platform features.
10 years of coding experience
4 years of employment as a software developer
University of California, San Diego
High School, High School at The Affiliated High School of South China Normal University
Bachelor's degree, Computer Science, 3.93, Bachelor's degree, Computer Science, 3.93 at Rensselaer Polytechnic Institute
Contributions:618 reviews, 188 commits, 604 PRs in 2 years 4 months
Contributions summary:Xinhao primarily contributed to the `kuaidi100` route, which interacts with a third-party service for tracking package information. The commits focused on adding functionality for the `kuaidi100` service, including the implementation of API interactions and error handling, demonstrating knowledge of interacting with external services. They also addressed issues related to cookie management and caching, suggesting a focus on optimizing performance and handling API rate limits. The user also worked on maintaining and supporting this API.
Contributions:11 PRs, 264 pushes, 13 branches in 5 years
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