Xuanyi Li is a Senior Software Engineer at Uber, specializing in the Realtime Analytics Platform, where management of Apache Pinot clusters is executed at a scale of 5,000 nodes. Key contributions include enhancements to the core engine for improved data reliability and query efficiency, alongside efforts in multi-tenant re-architecture and operational efficiency. Previous roles at LinkedIn involved scaling the training of machine learning models, while experience at Quantcast focused on operating Apache Druid for audience analytics. An internship at Alibaba.com included building a distributed scaffolder for machine learning development, and early academic work involved NLP research, culminating in a published paper. Xuanyi holds a Bachelor of Engineering in Automation from Zhejiang University and a Master of Science in Computer Science from The Ohio State University.
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