Summary
Jeremy Cheung is a Machine Learning Engineer with 9 years of interdisciplinary experience, currently building ML systems at OpenTable after driving production computer vision, fraud detection, and NLP solutions at Lalamove. He pairs a mechanical engineering background (MEng) and hands-on robotics work with practical ML skills—Python, OCR, YOLO, LLMs—to move prototypes into market-ready products. His work has delivered measurable impact, including a 50% uplift in fraud detection at scale, and he’s shipped end-to-end systems for art-tech robotics and logistics platforms. Based in Toronto, Jeremy blends statistical rigor (data cleaning, validation, hypothesis testing) with product-minded engineering, often translating physical-system insights into robust ML features.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng, Mechanical Engineering, Master of Engineering - MEng, Mechanical Engineering at Toronto Metropolitan University
English, Chinese, Chinese