I lead product and infrastructure security at EigenLabs across protocol design, governance, EigenAI, detection tooling, applied cryptography, and adversarial AI systems.
Current focus: EigenAI threat modeling and protocol security · Interests: protocol security, applied cryptography & ZK, adversarial ML, detection tooling
I am a developer turned security researcher focused on systems where software, incentives, and adversaries meet. At EigenLabs, I lead product and infrastructure security across protocol, services, governance, and deterministic AI inference, with mitigations protecting ~$22B in TVL on EigenLayer.
Before EigenLabs, I led security work at Coinbase across the MPC wallet, ETH staking, Coinbase Wallet, and Base L2. My earlier work spans consumer abuse defense at Tinder, mobile and embedded security at Intel and Citrix, and hands-on penetration testing and training at EY.
My research roots include adversarial ML since 2017, applied cryptography and ZK, Android instrumentation, distributed fuzzing, and automated red-teaming. I helped start AI Village at DEF CON in 2018, working on the Call for Villages, CFP paper review, and operations in its first year. I have presented research at DEF CON, Black Hat USA, TROOPERS, HITB, BruCon, Shakacon, Hacktivity, and other security conferences.
Exploring the fundamental issues with current bug bounty programs and proposing cryptographic solutions using zero-knowledge proofs.
Read on Forbes →Deep-dive technical analysis of the Euler Finance exploit, examining the vulnerability and attack mechanics.
Read on Coinbase →