Summary
Wei-min C is a software engineer with 12 years of experience combining a Computer Science and Economics education from UC Berkeley with hands-on machine learning and cloud engineering. Currently on YouTube Ads Privacy Infrastructure at Google, he has built production CV models and deployment pipelines—work that includes a YOLOv4 people-tracking system now used in transit security and EfficientNet/MobileNet classifiers for real-world products. He has a proven track record of turning ML prototypes into scalable services and automation (serverless Slack app at Expedia that boosted timesheet compliance and saved $300k), and is comfortable across AWS, ONNX model tooling, and backend APIs. Based in the NYC metro area, Wei-min brings a data-driven, product-minded approach to privacy-sensitive ad infrastructure and computer vision problems, and—unsurprisingly for a Yankees fan—thrives in competitive, results-oriented teams.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Intended Economic and Computer Science (Double Major), Bachelor of Arts - BA, Intended Economic and Computer Science (Double Major) at University of California, Berkeley
Ming Dao High School International Department
Chinese, English, hokkien