Frontend owner and full-stack contributor
Sherlock AI
AI-powered smart contract analysis for Web3 teams, built to catch vulnerabilities during development before formal audit work begins.
Project context
Sherlock AI is Sherlock’s development-stage security product for Web3 teams. It analyzes smart contract code during development so teams can catch risky logic and likely vulnerabilities earlier.
I was one of the developers on the project and was completely in charge of the frontend implementation.
I also implemented several end-to-end product features, including workflows around AI-powered analysis, findings review, and remediation support.
The product integrates with engineering workflows such as GitHub repositories, commits, and pull requests, giving teams visibility into vulnerabilities and attack paths tied to the code they are releasing.
Customers
Sherlock AI is used by Web3 engineering teams and is presented by Sherlock alongside protocols and ecosystems including Aave, Ethereum Foundation, Arbitrum, MegaETH, Sky.money, Optimism, Tempo, and Centrifuge.
“We’ve tried many different AI audit tools, and none come even close to Sherlock AI. Other tools are either good at PR runs or manual runs. Sherlock AI is by far the best combination of both.”
What I worked on
- Owned the frontend implementation for the Sherlock AI product.
- Implemented several end-to-end product features across the AI workflow.
- Built interfaces for repository analysis, findings review, vulnerability context, and remediation workflows.
- Worked on product flows that support development-stage security checks before formal audits.