Pengyu Wang is a software engineer and Yale MS candidate focused on building large-scale data systems and infrastructure that compute, store, and transport information efficiently. With eight years of experience spanning roles at Duolingo, TikTok, Nokia, and startups, he blends production engineering on observability and experimentation platforms with hands-on data engineering for monetization and analytics. He has taught object-oriented programming at Yale and NYU Abu Dhabi, reflecting a knack for translating complex systems into clear learning experiences. Based in Pittsburgh, Pengyu brings practical impact—such as a fault-finding system used by 150+ engineers—and a research-minded approach from funded undergraduate work in urban networks. He combines academic rigor with product-focused execution, making him effective at turning large-data research ideas into reliable, production-ready infrastructure.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at New York University Abu Dhabi
High School Diploma, Science, High School Diploma, Science at Yali High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Yale University
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