Summary
Shin-yu Chen is a software engineer in the San Francisco Bay Area with six years of experience focused on backend systems, infrastructure, and machine learning. Currently on the Spark query processing team at AWS, she previously strengthened Redshift's data plane by improving VACUUM and cluster resize/restore operations. Her Ph.D.-level research background at Georgia Tech informs a data-driven approach to problem solving—she has authored work accepted to Nature Communications integrating single-cell datasets. Comfortable across big data pipelines and production systems, she blends rigorous academic methods with hands-on engineering. Active in community initiatives like Rewriting the Code and experienced in early-stage product work, she brings curiosity, proactivity, and strong time management to complex distributed systems. Also, she’s a 100% cat person, which surfaces in her collaborative, detail-oriented style.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Tianjin University