Cong Liu is a software engineer with 7 years of experience building high-performance data structures, algorithms, and cloud-native systems. Currently at Google, he contributes to Google Kubernetes Engine, Serverless and AI inference platforms, bringing deep experience in scalable web services and OO design. His background includes Amazon FBA and early roles in backend architecture, data synchronization and caching, reflecting a pragmatic approach to reliability and performance. Trained at Tsinghua and the University of Alberta, he also pursued a Udacity Self-Driving Car nanodegree, signaling a strong applied ML/robotics curiosity beyond core systems work. A fast learner and technology enthusiast, he publishes NLP-related content under 刘聪NLP and runs a public "NLP工作站" feed, indicating active engagement with the research and developer communities. Based in Nanjing with experience across major cloud platforms, he blends low-level algorithmic rigor with production-grade distributed systems engineering.
Contributions:17 commits, 13 pushes, 1 branch in 5 months
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