Summary
Yujian Lang is a Machine Learning Scientist with a decade of experience building production ML systems and a 7+ year applied science track record across fraud detection, feature engineering, and large-scale data pipelines. Currently splitting time between Amazon and SHEIN, he has driven measurable reductions in account takeover losses through novel embedding methods (TAG) and graph-attention feature engines (GREAT) that were accepted at AMLC MLFAC workshops. He combines deep academic roots from USC (master’s in EEE) with hands-on experience processing terabytes of data, engineering 1,500+ features, and pushing models from research into production. Known for practical creativity, he improved model AUC and recall substantially across multiple flows and regions while delivering multimillion-dollar annual savings. Comfortable with end-to-end systems, he also brings a background in signal/image research and teaching that sharpens his ability to translate complex methods into operational pipelines.
10 years of coding experience
7 years of employment as a software developer
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at University of Southern California
Double Degree Electrical Engineering and Marketing, Double Degree Electrical Engineering and Marketing at The Hong Kong Polytechnic University
English, Chinese