Summary
Yongzhou Gu is a software engineer with nine years of experience building large-scale distributed and fault-tolerant systems, currently contributing to Google’s Ads Display Formats team in New York. He has a strong data infrastructure background from multiple roles at Yelp, where he implemented Flink connectors, Spark ETL services, and led a MySQL source connector project from scratch. Yongzhou pairs rigorous academic training—a BS in Computer Science and a math minor from UIUC and an MEng from Cornell—with hands-on experience across streaming, schema evolution, Kafka tooling, and performance work in parallel and trading systems. He’s comfortable shipping production systems that monetize content and support data science workflows, and he brings a knack for turning complex data pipeline requirements into pragmatic, maintainable solutions. An often-overlooked strength is his breadth across low-latency parallel computing and high-throughput data engineering, enabling him to optimize both algorithmic performance and system reliability.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Computer Science, 4.02/4.0, Master of Engineering - MEng, Computer Science, 4.02/4.0 at Cornell University
University of Illinois Urbana-Champaign
Chinese, English, Japanese