ProtoKOLs helps web3 brands and agencies evaluate influencer fit, monitor project activity, and turn noisy ecosystem data into usable campaign insight across large social and on-chain datasets.

I worked across the product as a full-stack engineer, building KOL Checker, Project Checker, narrative mindshare, reports, watchlists with alerts, activity tracking, and other data-dense product surfaces used in workflows around 100K+ influencer profiles.

On the backend, I focused on data pipelines, AI-powered classification, Redis caching layers, and background worker systems processing millions of social events, helping keep the product both cost-aware and responsive at scale.