Junli Ye is a software engineer with a decade of experience building cloud and AI infrastructure, currently contributing to Google Cloud Vertex AI after three years on Azure Storage at Microsoft. He holds an EECS master's from UC Berkeley and a strong CS foundation from Zhejiang University (3.92/4.00), blending research-grade rigor with production engineering. Junli's background includes applied research in machine learning and control systems—publishing work on intelligent irrigation and toxin classification that improved efficiency and accuracy—and an internship at Ant Financial where he built an internal data-visualization tool. Comfortable across systems and ML stacks, he focuses on scalable, reliable services and has a personal website showcasing projects and research. Colleagues describe him as someone who translates academic insights into deployable software that measurably improves system performance.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Electrical Engineering & Computer Science (EECS), Master's degree, Electrical Engineering & Computer Science (EECS) at University of California, Berkeley
Summer Program, Summer Program at University of Toronto
Bachelor of Engineering - BE, Computer Science, 3.92/4.00, Bachelor of Engineering - BE, Computer Science, 3.92/4.00 at Zhejiang University
Contributions:4 commits, 3 pushes, 1 branch in 5 days
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.