Po-nien Kung is a first-year Ph.D. student in Computer Science at UCLA with 11 years of hands-on software and research experience across industry and academia. Currently a Student Researcher at Google, he has blended deep learning research internships at Zoom and Microsoft with applied roles at MediaTek Research and National Taiwan University under Prof. Yun-Nung Chen. His background spans full-stack web development, LAMP-based real-time apps, and ML research—evidenced by freelance web projects for major blockchain events and production-focused engineering at Gridwell. Comfortable moving between research and product teams, he brings practical deployment experience alongside academic rigor and a curiosity for bridging applied systems with cutting-edge AI. An interesting thread through his career is consistently shipping small, impactful web products while pivoting into progressively deeper ML research roles.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer science and information technology, Bachelor's degree, Computer science and information technology at National Taiwan University
Contributions:21 pushes, 1 branch in 2 years 7 months
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