Summary
Xuejie Tang is a software engineer with nine years of experience building cloud-native, data engineering, and distributed systems, currently working at Google in Canada. With a Master’s in Applied Computing and a BSc in Computer Science & Statistics, she has delivered production services spanning streaming pipelines, NLP-powered code suggestions, and backend platforms at companies including Alibaba, SOTI, and HiRain. She blends research and product work—developing parsers and ML pipelines for Blockly suggestions and implementing real-time vehicle data platforms—bringing both academic rigor and hands-on engineering. Comfortable across Java, Python, containerized microservices, and AWS/EMR ecosystems, she focuses on scalable, extensible designs and measurable system efficiency. Notably, her background includes building streaming analytics that fed model training and deploying those models into EMR-driven production, reflecting an end-to-end ML+systems skill set.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science &Statistics, Bachelor of Science (B.Sc.), Computer Science &Statistics at The University of British Columbia
Master of Science in Applied Computing, Computer Science, Master of Science in Applied Computing, Computer Science at University of Toronto
Chinese, English