Hang Yin is a seasoned full-stack software engineer with 10 years' experience building performant, readable systems across front-end TypeScript/Angular stacks and backend RESTful APIs, now working on machine learning infrastructure at Google DeepMind. Based in San Jose, he brings production experience from Google and Visa and a strong foundation from Columbia University and Zhejiang University. He is comfortable across the stack—HTML/CSS to Docker and Kubernetes—and prioritizes reliable, maintainable code that scales. Colleagues rely on him to dive deep into unfamiliar stacks and ship pragmatic solutions under real-world constraints. Though primarily focused on engineering, his career arc shows a steady move toward infrastructure for ML, blending application-level polish with platform-level robustness.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Master's degree at Columbia University
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Zhejiang University
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