Sumit Vekariya — CEO

I'm a software engineer with 8+ years of experience, 5+ of them deep in Web3 building on Ethereum, writing Solidity, contributing to zero-knowledge protocols, and thinking seriously about privacy and decentralized identity. Now I'm extending that foundation into ML Systems and AI Safety. The overlap isn't accidental. The questions I care about in Web3 — trust, verifiability, identity, privacy-preserving computation — are the same questions becoming urgent in AI: - How do you verify what a model is doing? - How do you maintain privacy when inference attacks can extract training data? - How do you give AI agents accountable, verifiable identities? These aren't separate problems. They're the same problem at different layers. Open source contributor: 45+ merged PRs across Ethereum.org, Semaphore Protocol, Nethermind, Protocol Labs, and OpenZeppelin. Currently studying ML Systems (mlsysbook.ai, Harvard) and documenting the learning journey publicly. Interested in: ML residencies, AI Safety/Alignment roles, research engineering positions where systems thinking and cryptographic foundations are an asset. Remote-native. Async by default.

Stackforce AI infers this person is a Blockchain and AI Safety Engineer with a focus on decentralized applications.

Location: Ahmedabad, Gujarat, India

Experience: 7 yrs 3 mos