Computer Vision Algorithm Engineer at Columbia Engineering
Shanghai, Shanghai, China
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Summary
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Senior
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Top School
Xinwei Li is a computer vision algorithm engineer with nine years of experience building deep learning models across vision and NLP, currently developing production neural nets at Agora.io in Shanghai. He holds an MS in Data Science from Columbia and a strong applied-math background from UIUC, blending rigorous theory with practical engineering. His work spans academic research in argumentation mining with BERT to hands-on industry projects in cybersecurity and real-time media, evidencing fluency in both research and product environments. At Columbia he has supported data-driven initiatives and taught algorithms for data science, underscoring a commitment to mentorship and reproducible research. Notably, Xinwei’s trajectory moves fluidly between interdisciplinary teams—from political science data projects to bank cybersecurity—bringing a rare mix of domain breadth and deep technical skill.
9 years of coding experience
1 year of employment as a software developer
Master of Science (MS), Data Science, 4.16/4.00, Master of Science (MS), Data Science, 4.16/4.00 at Columbia University in the City of New York
Bachelor of Science (B.S.), Applied Mathematics, 3.3, Bachelor of Science (B.S.), Applied Mathematics, 3.3 at Xidian University
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Xinwei Li - Computer Vision Algorithm Engineer at Columbia Engineering