Summary
Yu Lee is a software engineer with a decade of hands-on experience building low-latency, large-scale backend systems and production ML pipelines across fintech, social platforms, and e-commerce. He has shipped trade-execution infrastructure at Goldman Sachs, optimized compliance and risk backends at PayPal and TikTok, and deployed regional anti-fraud ML models at Shopee that reduced fraud losses by over 20%. Comfortable across Golang, Python, Java, React and cloud tooling, he combines full-stack engineering with practical machine learning and DevOps automation to deliver measurable business impact. A consistent hackathon prize-winner and former national Olympiad medalist, he brings a rare mix of competitive algorithmic skill and product-focused execution. He’s also authored data-science analysis on LSTM stock prediction and represented Singapore in international contests, signaling both technical depth and early leadership.
10 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 The University of Texas at Austin
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Singapore Management University
High School Diploma and Junior College, High School Diploma and Junior College at NUS High School of Mathematics & Science
Junior College Acceleration Programme Organic Chemistry / Physical Chemistry, Junior College Acceleration Programme Organic Chemistry / Physical Chemistry at National University of Singapore
English, Chinese