Summary
Zhengyuan Liu is a data-driven Business Analyst currently working on auto solutions at Amazon with 13 years of experience bridging data science, kernel-level IO work, and web development. He previously applied machine learning and analytics as a Data Science Engineer at Cummins and ensured algorithmic quality in a computer vision firm, showing versatility across industry and research settings. Trained with a Master's in Information Systems Management from Washington University in St. Louis and a BA from UC San Diego, he combines formal systems thinking with hands-on engineering. His GitHub interests in kernel IO protocol stacks hint at deep performance troubleshooting skills that inform his analytic approach to production systems. Comfortable teaching SQL to peers, he brings both mentorship and practical delivery to cross-functional teams. Based in Beijing, he excels at turning complex data into operational insights for automotive and embedded domains.
13 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Master's degree, Information Systems management, Master's degree, Information Systems management at Washington University in St. Louis