Summary
Kaixuan Zhang is a video algorithm engineer with nine years of experience blending academic rigor and industry impact, currently working on video algorithms at Zoom. He earned a master's and is a PhD candidate in Electrical and Computer Engineering from Northwestern University, and has interned on advanced media research at Netflix, Dolby, and Sony. His work spans video codecs, computer vision, and 3D pose reconstruction—translating research prototypes into production-focused algorithmic solutions. Kaixuan has a strong record of internships and research roles that bridge academia and product teams, including designing end-to-end systems for pose estimation and camera calibration. Based in San Jose, he combines top academic performance (4.0 GPA) with practical experience shipping video and codec features at scale. A not-obvious strength is his consistent movement between pure research and applied engineering, making him effective at turning novel ideas into deployable multimedia technology.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, top 3%, Bachelor's degree, Electrical and Electronics Engineering, top 3% at East China Normal University
Doctor of Philosophy - PhD, ECE, Doctor of Philosophy - PhD, ECE at Northwestern University