Summary
Xiang Liu is a machine learning and robotics-focused engineer currently pursuing a master's in Computer Science at Georgia Tech with 22 years of professional experience. He has applied ML and large-scale data techniques in industry, notably at Alibaba where he engineered extensible feature formats and time-series customer portraits to boost prediction accuracy from 66% to 72% while reducing complexity from O(n^2) to O(n). Skilled in Java, SQL, Hadoop, and logistic regression, he blends classical algorithmic thinking with practical production data engineering. Based in Atlanta, he approaches problems with a programmer’s credo—"Programs makes things easier and better"—and a background that spans mechatronics and automation from Nankai University. Notably, he introduced dynamic behavior signals (search/click/add-to-cart) into customer profiles at Tmall Technology, a move that materially improved predictive performance. He seeks to bridge robotics-inspired systems thinking with scalable ML solutions.
22 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, Bachelor's degree, Mechatronics, Robotics, and Automation Engineering at Nankai University
English, Chinese