John Guibas is a co-founder and software engineer based in San Francisco with nine years of experience at the intersection of applied cryptography, machine learning, and systems. He currently leads Succinct, a startup focused on provable software correctness that has raised $55M+ led by Paradigm, and previously worked on zero-knowledge proofs at 0xPARC. His research background includes DAWN Lab at Stanford and applied deep learning at NVIDIA, with hands-on work in vision transformers and ML/database systems integration. John blends academic rigor with startup velocity, translating research-grade cryptography and ML techniques into production-ready tooling. Notably, his career emphasis is on auditable, provable systems—an uncommon focus that informs both his product and research choices. He holds CS studies at Stanford, bringing both deep technical breadth and entrepreneurial drive to high-assurance software.
9 years of coding experience
2 years of employment as a software developer
Computer Science, Computer Science at Stanford University
Contributions:52 releases, 2 reviews, 1 PR in 9 months
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