Summary
Haitao Huang is a data analyst with 11 years of experience combining applied statistics and computer science to build data-driven products and models. Trained at Purdue and UW–Madison, he is fluent in Python and R, with professional exposure to Golang, Java, C++, JavaScript/TypeScript and PHP across full-stack and backend projects. He has parsed millions of activity records, provisioned efficient MySQL schemas, and improved operational efficiency by 80% while contributing to user-facing systems that supported 5,000+ users. His work ranges from two-tower neural models and XGBoost improvements that lifted AUC by 30% to hands-on MLOps and Linux/AWS administration, reflecting an ability to move research prototypes into production. Based in Hangzhou, he blends rigorous statistical intuition with pragmatic engineering, and has a knack for spotting subtle pipeline issues—such as diagnosing a speech-to-text flaw that restored a GPT-based voice chatbot.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Wisconsin-Madison
Bachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at Beihang University
Master of Science - MS Applied Statistics, Master of Science - MS Applied Statistics at Purdue University
English, Chinese