Summary
Junyi Xie is a results-driven software engineer with eight years of experience building cost- and performance-sensitive services for large-scale cloud platforms. He has driven measurable impact at Amazon—implementing Java optimizations and automation that cut SQS traffic by 75% and saved over $300K annually, improved notification quality affecting 500M deliveries, and reduced on-call and infrastructure costs through targeted deprecations. Comfortable across backend systems, AWS (Lambda, DynamoDB, CDK, CloudWatch) and data tooling (Spark SQL), he also built internal tools that reduced engineering effort and enabled safer data migrations. Now at Walmart Global Tech, Junyi combines rigorous academic training from UF and UCSD with a hands-on contributor mindset—his GitHub persona emphasizes continual learning, coding, and open contribution.
8 years of coding experience
3 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at 美国佛罗里达大学
University of California, San Diego
Bachelor of Engineering, Computer Science & Technology, Bachelor of Engineering, Computer Science & Technology at Nanchang University
Chinese, English