Summary
Yuxuan Liu is a software engineer specializing in test automation with 8 years of hands-on experience building scalable back-end systems and optimizing large data pipelines. With an MCS from UIUC and a BS in Math & CS from UW–Madison, he has delivered high-throughput payment and retail systems at Amazon and serverless monitoring and analytics at SiriusXM that cut cloud monitoring costs by 95%. He brings strong full-stack instincts—from Java and NoSQL microservices to AWS Lambda, Node.js, and testing infrastructure—and a track record of improving performance for petabyte-scale data jobs and real-time services. At Spokeo he focuses on automation that raises reliability across complex product surfaces, building on prior work that supported 10K+ TPS in retail experiments. Notably, his background blends rigorous CS foundations and math with practical optimizations (e.g., Hive partitioning and Kalman-filter GPS smoothing) that yield measurable operational wins. Based in Los Angeles, he combines production-grade engineering with a penchant for cost-effective, observable systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science & Mathematics Double Major, Bachelor of Science - BS Computer Science & Mathematics Double Major at University of Wisconsin-Madison
Master's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-Champaign
Beijing No.8 High School
English, Chinese, Spanish