Guanzhi Wang is a research scientist at NVIDIA with eight years of experience at the intersection of computer vision and machine learning, following research roles at Caltech and Stanford. He holds a PhD in Computing & Mathematical Sciences (in progress at Caltech) and an MS in Computer Science from Stanford, where he earned top grades and served as a TA for flagship ML and vision courses like CS231n and CS229. His work bridges rigorous academic research and applied systems, with internships and collaborations spanning industry labs such as Tencent and leading academic groups like SVL and SAIL. Comfortable moving between deep learning theory and practical model development, he maintains a personal academic page and a presence as a CS PhD student on GitHub, signaling active engagement in open research and reproducible code. Notably, his background includes exchange study at MIT and Georgia Tech, reflecting a broad collaborative network and adaptability across research environments.
8 years of coding experience
5 years of employment as a software developer
Exchange, Computer Science, Exchange, Computer Science at Massachusetts Institute of Technology
California Institute of Technology
Hong Kong University of Science and Technology (HKUST)
Exchange, Computer Science, GPA: 4.0/4.0, Exchange, Computer Science, GPA: 4.0/4.0 at Georgia Institute of Technology
Master of Science - MS, Computer Science, GPA: 4.1/4.3, Master of Science - MS, Computer Science, GPA: 4.1/4.3 at Stanford University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.