Andy Wei is a software engineer specializing in machine learning and computer vision with nine years of experience building production-grade ML systems across startups and hyperscalers. He holds an MS in Computer Vision from Carnegie Mellon and currently contributes to Google Assistant’s NLP stack while previously applying deep learning to medical imaging, robotics SLAM/IMU fusion, and retail product classification. Andy has a strong track record delivering end-to-end systems—researching novel spatio-temporal CNNs, scaling distributed PyTorch training on multi-node GPU clusters, and deploying CI/CD-backed inference services with Docker and Kubernetes. His work reduced clinical misdiagnosis rates and improved video segmentation performance by double-digit IoU gains, showing an ability to translate research into measurable product impact. Based in New York, he combines research rigor with practical engineering, often bridging model development and robust deployment pipelines.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Vision, Master of Science - MS Computer Vision at Carnegie Mellon University
Bachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at National Tsing Hua University
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Andy Wei - Software Engineer - Machine Learning at Google