Peter Rindal is a Senior Researcher in San Francisco with 11 years of experience specializing in advanced cryptographic protocols and secure multiparty computation. He designs, analyzes, and implements practical cryptography across Private Set Intersection, PRG-based correlations, threshold and post-quantum schemes, zero-knowledge proofs, and privacy-preserving ML, often delivering state-of-the-art protocols and leading open-source implementations. Equally fluent in systems-level languages like C++ and Rust, he bridges rigorous academic research (PhD in Computer Science, Oregon State) with production-grade software engineering at organizations including Visa and Category Labs. Peter is motivated by building real-world applications that are only possible through advanced cryptography, and his holistic approach combines protocol innovation with careful security analysis and high-quality tooling.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Oregon State University
A Three Party MPC framework for Machine learning and Databases
Contributions:65 commits, 6 PRs, 88 pushes in 1 year 10 months
mpcpartymachine-learningsvddatabases
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