Summary
Chaoying Liu is a software development engineer with a decade of experience building production systems at AWS and a strong research foundation from Fudan University and Carnegie Mellon. She blends applied machine learning and algorithms—having worked on gesture recognition, sequential pattern mining for VR inputs, and spectral graph sparsification for social network analytics—with hands-on software engineering for APIs and data platforms. Her background includes high-precision sentiment-based trading models and practical improvements to topic modeling and HMM-based user-intent prediction, reflecting a knack for turning research ideas into measurable results. Based in Seattle, she thrives at the intersection of research and product engineering, shipping scalable features while keeping an eye on algorithmic efficiency. Notably, she has repeatedly bridged lab prototypes and production: speeding up LDA sampling, improving gesture recognition in noisy settings, and contributing analytics tooling for market and trading data.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Fudan University
Master's degree, Information Technology, Master's degree, Information Technology at Carnegie Mellon University