Summary
Yichen Liu is a software engineer with nine years of experience building cloud-native systems, machine learning models, and security tooling across startups and large tech firms. He has delivered production services at Amazon Alexa and Ridge Security, where he built automated CVE-exploiting plugins, a breach-and-attack simulation platform, and performance-improving container migrations that directly attracted customers. Skilled in Python, Java, AWS, computer vision, and ML (including YOLO, Kalman filtering, CNNs), he combines hands-on engineering with a knack for automation that repeatedly reduces operational costs and error rates. Yichen’s background—MS in Computer Science (Machine Learning) from Columbia and a BS from University of Washington—supports a pragmatic approach to prototyping and scaling: from POCs and AWS Lex bots to high-throughput video analysis. Pragmatic, detail-oriented, and experienced mentoring teammates, he often uncovers opportunities to turn research or POCs into customer-facing features.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Applied & Computational Mathematical Science - Discrete math and algorithms, 3.67/4, Bachelor of Science - BS, Applied & Computational Mathematical Science - Discrete math and algorithms, 3.67/4 at University of Washington
Master of Science - MS, Computer Science - Machine Learning, Master of Science - MS, Computer Science - Machine Learning at Columbia University in the City of New York
Chinese