Summary
Kai Cheong is an Associate Data Scientist with a decade of hands-on experience applying end-to-end machine learning to operations and business problems at OOCL, including time-series demand forecasting and OCR-driven document automation. He blends strong engineering skills in Python, SQL and JavaScript with deep learning frameworks (TensorFlow, PyTorch, Keras) and practical tooling like LightGBM, SHAP and Faster R-CNN/CRNN for handwriting recognition. Kai’s background spans startups to enterprise—co-founding a web/ERP platform that secured HK startup funding and building ML solutions for wearable biometric analysis—giving him both product sense and deployment experience. He also mentors and reviewed projects for Udacity’s AI and Robotics programs, sharpening his ability to explain complex models and drive student-facing code quality. Based in Hong Kong, he pairs academic training in mechatronics with Stanford executive coursework in go-to-market strategy, enabling him to bridge technical delivery and commercial impact. An active writer and coder (Medium and GitHub), he uniquely combines ML productionization with UX-aware automation of shipping operations.
10 years of coding experience
3 years of employment as a software developer
Global Innovation Program - Go•To•Market, Entrepreneurship, Global Innovation Program - Go•To•Market, Entrepreneurship at Stanford University Graduate School of Business
Associate of Arts (AA), Marketing, Associate of Arts (AA), Marketing at Hong Kong Baptist University
Bachelor of Engineering (BEng), Mechatronics Engineering, Second-Upper Honor, Bachelor of Engineering (BEng), Mechatronics Engineering, Second-Upper Honor at City University of Hong Kong
English, Chinese, Chinese