Summary
Shiyuan Fang is a seasoned software and data engineer with 12 years of experience, currently building scalable systems at Google in the San Francisco Bay Area. He has deep hands-on expertise in big data platforms (Hadoop, Spark, Hive, HBase) and a proven track record designing data pipelines, modeling, and online prediction frameworks for high-impact domains like autonomous driving and healthcare. Skilled in data visualization and web app development, he turns terabytes of raw data into actionable insights using Tableau and custom interfaces. A Carnegie Mellon MS graduate with a 3.94 GPA, he blends rigorous academic training with production experience delivering reliable, data-driven features. Notably, he has implemented end-to-end pipelines that power real-time predictions for autonomous systems, demonstrating both breadth across the stack and a focus on low-latency, operational solutions.
12 years of coding experience
2 years of employment as a software developer
Master of Science (MS), Information Technology, 3.94, Master of Science (MS), Information Technology, 3.94 at Carnegie Mellon University
Chinese, English, Japanese