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Akhileshkgen

PROFILE

Akhileshkgen

Akhilesh Goswami developed and enhanced revenue tracking features for the DefiLlama/dimension-adapters repository, focusing on both single-chain and cross-chain scenarios. He consolidated revenue streams across KStore, service charges, swaps, staking, and Loyalty, introducing native token tracking for Aptos and integrating Kgen fee contracts for Aptos and Polygon. His technical approach involved refactoring event fetching logic to support fungible and native deposits, optimizing data retrieval with batch processing and timestamp caching, and improving documentation for clarity. Using TypeScript, smart contract interaction, and event-driven architecture, Akhilesh’s work provided a robust foundation for accurate, scalable, and maintainable multi-chain revenue analytics.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
2
Lines of code
289
Activity Months2

Work History

November 2025

1 Commits • 1 Features

Nov 1, 2025

Concise monthly summary for 2025-11 focusing on DefiLlama/dimension-adapters work. Delivered a cross-chain revenue-tracking feature by introducing Kgen fee contracts for Aptos and Polygon, enhancing revenue event handling and reporting across chains. No major bugs fixed this month. Overall impact includes improved revenue tracking accuracy, better cross-chain visibility, and a foundation for future multi-chain expansion. Key technologies include Kgen fee contracts, Aptos and Polygon integrations, and cross-chain data handling.

July 2025

2 Commits • 1 Features

Jul 1, 2025

July 2025 performance summary for DefiLlama/dimension-adapters: Delivered KGeN Revenue Tracking Enhancements, consolidating revenue-related changes across KStore, service charges, swaps, staking, and Loyalty. Introduced Aptos native token revenue tracking, clarified revenue streams, refactored event fetching to handle fungible and native deposits, and optimized data retrieval using batch processing and timestamp caching to improve revenue calculations. This work lays groundwork for more accurate revenue analytics and faster calculations across adapters.

Activity

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Quality Metrics

Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage33.4%

Skills & Technologies

Programming Languages

TypeScript

Technical Skills

API IntegrationData FetchingDocumentationSmart Contract InteractionTypeScriptblockchain developmentevent-driven architecturesmart contracts

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

DefiLlama/dimension-adapters

Jul 2025 Nov 2025
2 Months active

Languages Used

TypeScript

Technical Skills

API IntegrationData FetchingDocumentationSmart Contract InteractionTypeScriptblockchain development

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