Summary
Yuchen Pei is a machine learning engineer with 11 years of experience, currently building risk-control and account-security models at TikTok in Singapore. He combines production ML for anti-fraud and SMS anti-flooding with a strong data-science foundation from roles at Shopee and research at Columbia University, where he applied BERT to large-scale news NER. His background spans end-to-end systems—front-end/web platforms, SQL optimization, and automated testing—reflecting an ability to move ideas from prototype to high-throughput production. Academically grounded with an MS in Data Science (Columbia) and a CS BS from Nanjing University, he has hands-on experience with deep learning (bi-GRU with attention) and practical gains in model and system performance. He prefers keeping most code off GitHub and hosts contributions at a personal code site, suggesting a pragmatic, privacy-minded approach to engineering.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.7, Bachelor of Science - BS, Computer Science, 3.7 at Nanjing University
Master of Science - MS, Data Science, 3.91, Master of Science - MS, Data Science, 3.91 at Columbia University in the City of New York