AVSLab/basilisk
Jun 2025 – Jun 2025
1 Month active
Languages Used
C++Pythonrst
Technical Skills
Data HandlingDocumentationEmbedded SystemsPythonSimulationSoftware Testing
LorenzzoQM
PROFILE
Lorenzzoqm
Lorenzo Quevedo Mantovani focused on enhancing data reliability and integrity for the AVSLab/basilisk repository, addressing critical issues in the SpaceToGroundTransmitter and storage handling modules. He resolved partition identification errors to ensure accurate data downlink and refined transmission logic to prevent data loss under high baud rates. Using C++ and Python, Lorenzo applied robust debugging and unit testing practices, updating both tests and documentation to validate and support these changes. His work emphasized careful data handling and simulation, resulting in more reliable packet sizing and improved downlink performance. The depth of his contributions strengthened the codebase’s maintainability and correctness.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
0
Lines of code
663
Activity Months1
Your Network
80 peopleSame Organization
@colorado.edu61
Shared Repositories
19
Work History
June 2025
5 Commits
Jun 1, 2025June 2025 monthly summary focused on reliability and data integrity for AVSLab/basilisk. Implemented critical fixes to SpaceToGroundTransmitter and storage handling under high baud rates. Added targeted tests and documentation to support maintenance and validation. These changes improve downlink reliability, prevent data loss, and demonstrate robust debugging, testing, and code quality practices.
5 Commits
Jun 1, 2025June 2025 monthly summary focused on reliability and data integrity for AVSLab/basilisk. Implemented critical fixes to SpaceToGroundTransmitter and storage handling under high baud rates. Added targeted tests and documentation to support maintenance and validation. These changes improve downlink reliability, prevent data loss, and demonstrate robust debugging, testing, and code quality practices.
June 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability84.0%
Architecture82.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Pythonrst
Technical Skills
Data HandlingDocumentationEmbedded SystemsPythonSimulationSoftware TestingUnit Testing
Repositories Contributed To
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