Weixing L.

Weixing L. is an Applied Scientist at Amazon with over five years of experience in building end-to-end machine learning systems, specializing in Graph ML, LLMs, and fraud and abuse detection. Previously, as a Data Scientist at Verisk, Weixing collaborated on fraud detection statistical modeling and developed feature engineering automation, significantly improving efficiency. They also completed a Capstone Project at Ferguson Enterprises, achieving a high accuracy in customer conversion prediction through advanced modeling techniques. Weixing holds a Master's degree in Marketing from the University of Strathclyde and a Master's in Business Analytics from William & Mary.