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
Worked on the NASA-SUITS-Teams/JARVIS-2025 repository to deliver LIDAR terrain heightmap processing with real-time visualization, enabling dynamic assessment and planning based on incoming sensor data. Implemented algorithms in Python and C++ to process LIDAR point clouds, update grid-based terrain models, and render results using matplotlib. Integrated socket programming for real-time data flow, supporting responsive visualization of terrain features. Improved code maintainability by removing three obsolete A* pathfinding scripts, reducing technical debt and potential confusion. Demonstrated a focus on both data-driven feature development and codebase hygiene, combining numerical computing, data visualization, and algorithm implementation within a single development cycle.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
272
Activity Months1
Your Network
128 peopleWork 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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