Kenneth Dai is a software engineer based in New York with a decade of experience building machine learning and AI-driven products across finance and e-commerce. He combines strong engineering chops in Python, C++, Go, and SQL with domain expertise in deep learning, natural language understanding, fraud detection, and financial prediction. A published author in machine learning and a Master of Financial Engineering from UC Berkeley, he pairs rigorous academic training with hands-on product delivery and team leadership. At Coinbase and other high-impact environments he’s focused on turning research into production systems that measurably improve business outcomes. Notably, he blends quantitative finance insight with practical ML engineering to tackle real-world risk and prediction problems.
10 years of coding experience
Master's Degree, Master of Financial Engineering, 3.91, Master's Degree, Master of Financial Engineering, 3.91 at University of California, Berkeley
Nanjing Foreign Language School
Bachelor of Applied Science in Engineering Science with Honours, Engineering Science, 3.96, Bachelor of Applied Science in Engineering Science with Honours, Engineering Science, 3.96 at University of Toronto
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