Xinying Guo is a computer vision and applied AI engineer based in Singapore with four years of hands-on experience gained through research internships at TikTok and Seagate Technology. Trained in Information Engineering & Media at Nanyang Technological University with a computer science exchange at NUS, she blends signal-processing intuition with practical ML research to tackle media-rich problems. Her work emphasizes applied research that transitions models toward real-world products, particularly in video and storage-related AI tasks. Outside engineering she brings creative energy from music and sports, a background that informs a collaborative, performance-oriented approach to problem solving. Though early in her career, she pairs academic rigor with industry experience and a knack for turning exploratory experiments into production-minded results.
4 years of coding experience
Exchange Student Computer Science, Exchange Student Computer Science at National University of Singapore
Bachelor of Engineering Information Engineering & Media, Bachelor of Engineering Information Engineering & Media at Nanyang Technological University Singapore
Contributions:22 commits, 19 pushes, 2 branches in 22 days
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