Summary
Fan Gong is a Senior Machine Learning Engineer with nine years of experience building production ML systems, currently driving candidate selection and ranking models at Grubhub. A Columbia-trained statistician, he blends strong probabilistic modeling and deep learning skills with hands-on MLOps—deploying microservices, automated pipelines, and containerized workloads on AWS and Kubernetes. His background spans recommendation systems, time-series forecasting, and causal/optimization projects in healthcare and adtech, often transforming messy, large-scale data into actionable models. Notably, he has implemented next-best-action systems and LTR/CTR models in production and maintains a public blog and GitHub showcasing his applied data science work.
8 years of coding experience
4 years of employment as a software developer
Master’s Degree, Statistics (Data Science Track), Master’s Degree, Statistics (Data Science Track) at Columbia University Graduate School of Arts and Sciences
Bachelor’s Degree, Statistics, Bachelor’s Degree, Statistics at Jilin University
English, Chinese