Summary
George Wee is a seasoned software engineer with a decade of experience building backend systems, APIs, and front-end components—currently contributing to enterprise AI agents and business lending platforms at Wells Fargo. He combines Java/Spring Boot backend expertise with practical front-end experience in React/Redux, and has participated in cloud migrations and production deployments. George pairs a strong academic foundation in government and quantitative finance with multiple Udacity nanodegrees in AI and machine learning, enabling him to bridge traditional software engineering and applied ML. His early work includes shipping mobile apps and accessibility-focused front-end migrations at large retailers, showing a pragmatic, user-centered approach. Comfortable across the stack, he focuses on reliable, testable systems and has hands-on experience with static analysis, CI/CD, and database ORM patterns. Colleagues would note his unusual mix of policy/finance education and applied AI training, which helps him reason about complex, regulated enterprise domains.
10 years of coding experience
6 years of employment as a software developer
Master of Economics, Concentration in Quantitative Finance, 90.62/100 (GPA 3.84/4.00), Master of Economics, Concentration in Quantitative Finance, 90.62/100 (GPA 3.84/4.00) at Peking University HSBC Business School (Shenzhen, China)
University of California San Diego
Master of Arts (M.A.), Government, 3.91/4.00, Master of Arts (M.A.), Government, 3.91/4.00 at Johns Hopkins University
Nanodegree, AI Programming with Python, Completed, Nanodegree, AI Programming with Python, Completed at Udacity