Tianyi Liu is a software engineer with nine years of experience building and evaluating large-scale systems at Google and Microsoft, specializing in C/C++, Java, C#, and Python. He brings strong OOP foundations, RESTful API design, SQL and big data practice, and Linux familiarity to production-grade search evaluation and cloud automation work. At Microsoft he designed test and stress frameworks for Azure services, and at Google he applies precise, data-driven engineering to search quality. A PhD student researching practical zero-knowledge proofs, he bridges applied cryptography research with hands-on system implementation. Based in Mountain View, he combines rigorous academic inquiry with enterprise-grade software delivery and a proven habit of working with great precision.
A GKR-based zero-knowledge proof protocol for CNN model inference.
Contributions:11 commits, 2 PRs, 9 pushes in 1 year 1 month
pytorchzeroknowledgedeep-learninginference
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