Victor Huang is a product manager at Microsoft AI with 11 years of engineering and product experience, focused on web platform infrastructure including browser internals and W3C standards. He brings a hands-on background from Carnegie Mellon’s Autolab open-source project, where he improved annotation UX and backend support for auto-graded programming assignments. Prior internships across Microsoft, Redfin, and data- and research-focused organizations give him a practical mix of product, data engineering, and full-stack development skills. Based in the Greater Seattle Area, he pairs academic rigor from CMU with enterprise-scale product delivery at Microsoft. Notably, his open-source contributions show an attention to subtle UX details (minimizable annotations, robust file handling) that improve developer and educator workflows.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Carnegie Mellon University
NUS High School Diploma, NUS High School Diploma at NUS High School of Mathematics & Science
Course management service that enables auto-graded programming assignments.
Role in this project:
Full-stack Developer
Contributions:3 releases, 310 reviews, 195 commits in 3 years 4 months
Contributions summary:Victor's commits primarily focused on improving the Autolab's annotation features, specifically for PDF submissions. They addressed bugs related to file downloads and implemented enhancements such as making annotations minimizable and reformatting annotation forms. The user worked on front-end JavaScript code for annotation boxes and forms, and made back-end changes to handle the display and functionality of these annotations in the submissions controller.
Contributions:133 commits, 95 pushes, 1 branch in 6 years 3 months
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