Meet @duveZK, zkVM engineer at Nexus. He studied logic and CS, and now works on formal verification, zero-knowledge proofs, and the infrastructure powering verifiable AI.

Tanner's focus is formal verification for AI. “As AI gets deployed in critical systems, unreliable output can be disastrous. Provable correctness means formal and cryptographic guarantees—for safety, privacy, and fairness.”

He's especially excited by the intersection of PL, AI, and ZK. “There’s real momentum in using AI to assist with formal verification—training LLMs on Lean data to generate verified math and software.”

Read the full interview here: