Summary
Roy Chan is a machine learning engineer with eight years of experience building production ML systems across ads, search, NLP and computer vision at companies including Amazon, Shopee and ByteDance. Grounded in an M.Phil. in Statistics and a Wharton exchange in econometrics, he blends rigorous statistical modeling and time-series research with hands-on engineering for sponsored-products, query understanding and OCR pipelines. His background spans academia and industry—from econometric forecasting at Penn to applied research and teaching at CUHK—giving him a rare fluency in both stochastic theory and scalable ML deployment. Based in Old Toronto, he pairs practical product experience with curiosity (and an implied fondness for cat photos), making him effective at turning complex data problems into reliable, production-ready models.
8 years of coding experience