Jelilat Anofiu is an AI Engineer with nine years of experience building resilient backend systems for crypto and financial use cases, from blockchain clients and RPC endpoints to on-chain data processing and agentic payment infrastructure. They have driven full-transaction-lifecycle solutions—execution interfaces, stateful services, simulation tooling, and developer-facing reliability features—at scale for wallets, developers, and on-chain applications. At Nethermind they contributed to Juno, a Golang Starknet client, implementing core block hash, transaction and event commitment logic and improving logging and network configuration, demonstrating practical impact on a growing open-source blockchain stack. Their background blends deep engineering with research into zero-knowledge cryptography and distributed validator technology, and they thrive in high-ownership, ambiguous environments. Based in the UK with a mathematics degree, Jelilat pairs quantitative rigor with hands-on delivery across both product explorations and production infrastructure.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Federal University Of Agriculture, Abeokuta
Contributions:301 reviews, 56 commits, 84 PRs in 5 months
Contributions summary:Jelilat contributed to the implementation of the Juno Starknet client. Their work includes adding color-coded log levels to the logging system, enhancing network configurations by adding chain IDs and support for new networks, and fixing a bug related to the Goerli2 network URL. Furthermore, the user implemented block hash calculations and added functionalities for transaction and event commitments within the core logic of the client.
An app that lets Lensters airdrop tokens to their Lensfrens
Contributions:8 reviews, 129 commits, 28 PRs in 7 months
airdroptokensdappblockchainlensprotocol
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