Yupei Tian is a systems-trained software engineer with nine years of experience building scalable platforms and low-level infrastructure, currently completing a Master's in System Software at Carnegie Mellon and transitioning toward Quantitative Development. He designed and implemented a Unix-like OS kernel praised for its thoughtful, readable design and built high-fidelity simulations of search and generative AI to quantify user perceptions for research decisions. His industry work spans monorepo governance at ByteDance, cross-platform merchant systems at Kuaishou, and a metadata-driven multi-tenant ERP for education, demonstrating fluency from kernels to full-stack product engineering. Based in Pittsburgh, he blends rigorous academic training from Peking University and CMU with a pragmatic, hands-on ethos—preferring to learn fundamentals, iterate through mistakes, and deliver zero-to-one innovations that complement, rather than rely on, AI.
9 years of coding experience
1 year of employment as a software developer
Master of Science, Geology, Master of Science, Geology at 北京大学
Master's degree, Master's degree at Carnegie Mellon University
Contributions:47 commits, 4 PRs, 43 pushes in 3 months
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Yupei Tian - Research Assistant at Carnegie Mellon University