Summary
Fancheng Kong is a machine learning engineer with nine years of experience building data-driven systems for large-scale platforms. He is currently a Machine Learning Engineer at Meta, following a tenure as a Senior Machine Learning Engineer at LinkedIn and a role at iQIYI where he helped build a short video recommendation system. Based in New York, he combines strong academic credentials with practical industry expertise, holding an MS in Electrical and Electronics Engineering from Columbia University and pursuing a PhD in Computer Systems Networking and Telecommunications at the University of Technology Sydney. His technical focus spans machine learning, deep learning, data analysis, and data engineering, enabling end-to-end delivery from experimentation to production. Across roles at social platforms and media services, he blends research-oriented rigor with product-focused impact. He thrives on translating complex data signals into scalable, user-centric ML systems in fast-paced environments.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Information Technology and Engineering, 3.5, Bachelor of Science - BS, Information Technology and Engineering, 3.5 at Southeast University
Master of Science - MS, Electrical and Electronics Engineering, 4.2, Master of Science - MS, Electrical and Electronics Engineering, 4.2 at Columbia University in the City of New York
Doctor of Philosophy - PhD, Computer Systems Networking and Telecommunications, Doctor of Philosophy - PhD, Computer Systems Networking and Telecommunications at University of Technology Sydney