At Blockchain Intelligence Group, I lead R&D for blockchain intelligence features and serve as the internal EVM subject-matter expert. I guide technical prioritization, architecture discussions, implementation reviews, and delivery across production data pipelines and crypto node infrastructure.
I've built Python blockchain indexers and pipelines processing millions of transactions across BTC, Ethereum, Cardano, Solana, XDC, Syscoin, and other chains. My work on QLUE includes real transaction timestamps, event logs, ERC token support, internal transactions, automated integrity tests, and smart-contract and transaction audits supporting investigations.
I also build full-stack and backend products with Node.js, TypeScript, Next.js, REST APIs, serverless workflows, SQL, and MongoDB.
I bring a Master of Computer Science from Arizona State University, focused on cybersecurity and data engineering, alongside hands-on experience leading blockchain MVP delivery and applied blockchain research.

