NASA-SUITS-Teams/JARVIS-2025
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++Python
Technical Skills
Algorithm ImplementationCode CleanupData VisualizationLIDAR ProcessingNumerical ComputingPathfinding
paulGreenberg2002
PROFILE
Paulgreenberg2002
During April 2025, Patrick Greenberg contributed to the NASA-SUITS-Teams/JARVIS-2025 repository by developing a LIDAR terrain heightmap processing and real-time visualization system. He implemented algorithms in Python and C++ to process incoming LIDAR data, compute average terrain elevations, and render dynamic heightmaps using matplotlib. The solution incorporated socket programming for real-time data flow, supporting improved terrain assessment and planning. Patrick also performed code cleanup by removing obsolete A* pathfinding scripts, reducing maintenance overhead and clarifying the codebase. His work demonstrated depth in numerical computing, data visualization, and algorithm implementation, resulting in a more efficient and maintainable project architecture.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
272
Activity Months1
Your Network
108 people
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 summary for NASA-SUITS-Teams/JARVIS-2025: Delivered LIDAR terrain heightmap processing and real-time visualization; removed clutter by deleting obsolete A* pathfinding scripts; strengthened data-driven terrain assessment and planning capabilities; demonstrated end-to-end data processing, visualization, and maintenance efficiency.
2 Commits • 1 Features
Apr 1, 2025April 2025 summary for NASA-SUITS-Teams/JARVIS-2025: Delivered LIDAR terrain heightmap processing and real-time visualization; removed clutter by deleting obsolete A* pathfinding scripts; strengthened data-driven terrain assessment and planning capabilities; demonstrated end-to-end data processing, visualization, and maintenance efficiency.
April 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Algorithm ImplementationCode CleanupData VisualizationLIDAR ProcessingNumerical ComputingPathfindingSocket Programming
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