DefiLlama/DefiLlama-Adapters
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaScript
Technical Skills
DeFiNode.jsfull stack developmentsmart contracts
Rohan
PROFILE
Rohan
Rohan developed the Neura Vault TVL Estimation Adapter for the DefiLlama-Adapters repository, enabling accurate calculation of total value locked for Neura Vaults within an AI-powered yield optimization protocol on Hyper EVM. He architected the adapter to integrate on-chain data from multiple lending protocols, supporting optimized asset allocation and expanding data coverage for portfolio analytics. Using Node.js and JavaScript, Rohan focused on cross-protocol data integration and on-chain data modeling, ensuring reliable and maintainable code. His work demonstrated full stack development skills and smart contract knowledge, delivering a robust feature that improved data reliability for DeFi users without introducing critical bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
40
Activity Months1
Your Network
812 people
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — DefiLlama/DefiLlama-Adapters 1) Key features delivered: - Neura Vault TVL Estimation Adapter: New adapter that calculates TVL for Neura Vaults within an AI-powered yield optimization protocol on Hyper EVM, integrating lending protocols to optimize asset allocation. Commit ae125918548592f1363f2d1fa772d3a3fa24887c (PR #17652). 2) Major bugs fixed: - No critical bugs reported this month. 3) Overall impact and accomplishments: - Expanded data coverage for Neura Vaults, enabling more accurate TVL metrics and better-informed portfolio decisions. Strengthened DefiLlama adapters with cross-protocol data integration and support for AI-driven optimization contexts on Hyper EVM. 4) Technologies/skills demonstrated: - Adapter architecture for cross-protocol data integration, on-chain data modeling, and deployment with commit-based version control. Proficiency in Hyper EVM integration, lending protocol data sources, and agile delivery.
1 Commits • 1 Features
Jan 1, 2026January 2026 — DefiLlama/DefiLlama-Adapters 1) Key features delivered: - Neura Vault TVL Estimation Adapter: New adapter that calculates TVL for Neura Vaults within an AI-powered yield optimization protocol on Hyper EVM, integrating lending protocols to optimize asset allocation. Commit ae125918548592f1363f2d1fa772d3a3fa24887c (PR #17652). 2) Major bugs fixed: - No critical bugs reported this month. 3) Overall impact and accomplishments: - Expanded data coverage for Neura Vaults, enabling more accurate TVL metrics and better-informed portfolio decisions. Strengthened DefiLlama adapters with cross-protocol data integration and support for AI-driven optimization contexts on Hyper EVM. 4) Technologies/skills demonstrated: - Adapter architecture for cross-protocol data integration, on-chain data modeling, and deployment with commit-based version control. Proficiency in Hyper EVM integration, lending protocol data sources, and agile delivery.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage100.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
DeFiNode.jsfull stack developmentsmart contracts
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