nicholasyoder/rotki
Mar 2026 – Mar 2026
1 Month active
Languages Used
Python
Technical Skills
Pythonbackend developmentdata importdata validationerror handlingtest-driven development
Mikko Poikkilehto
PROFILE
Mikko Poikkilehto
Developed enhancements for the CoinLedger importer in the nicholasyoder/rotki repository, focusing on expanding support for additional transaction types such as airdrops, gifts, and fees. Applied Python and backend development skills to refactor the importer, improving location mapping and reliability across asset movements and history events. Emphasized robust data validation by introducing sign-consistency checks to prevent contradictory transaction amounts. Adopted a test-driven development approach, increasing unit test coverage and improving test data handling to ensure reliability across diverse scenarios. Maintained code quality by addressing pull request feedback and performing lint fixes, supporting seamless integration and ongoing maintainability of the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
904
Activity Months1
Your Network
47 peopleShared Repositories
47
Work History
March 2026
3 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for nicholasyoder/rotki: Delivered CoinLedger Importer Enhancements with expanded transaction types, sign-consistency validation, and importer refactor for improved location mapping, accompanied by significantly increased test coverage across asset movements and history events. Completed lint fixes and addressed PR comments to maintain code quality and integration velocity.
3 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for nicholasyoder/rotki: Delivered CoinLedger Importer Enhancements with expanded transaction types, sign-consistency validation, and importer refactor for improved location mapping, accompanied by significantly increased test coverage across asset movements and history events. Completed lint fixes and addressed PR comments to maintain code quality and integration velocity.
March 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Pythonbackend developmentdata importdata validationerror handlingtest-driven developmentunit testing
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