CURocketEngineering/Avionics
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++Python
Technical Skills
Pythondata loggingdata processingembedded systemsserial communicationsimulation
Jshepherd06
PROFILE
Jshepherd06
During January 2026, Jordan Shepherd focused on improving simulation reliability for the CURocketEngineering/Avionics repository. He addressed issues in launch detection and state transitions by reverting previous simulation changes and refining the state machine logic to ensure deterministic behavior across multiple launches. Using Python and C++, Jordan updated the data logging pipeline, specifically adjusting the CSV file path to guarantee accurate data streaming during subsequent launches. His work enhanced simulation fidelity and reduced the risk of incorrect state transitions, supporting more reliable validation cycles. The depth of debugging and version control demonstrated a careful, methodical approach to embedded systems development.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
0
Lines of code
59
Activity Months1
Work History
January 2026
2 Commits
Jan 1, 2026January 2026 monthly summary for CURocketEngineering/Avionics: Implemented simulation reliability improvements to stabilize launch detection, state transitions, and data streaming. Reverted prior simulation changes and updated statemachine logic to ensure deterministic behavior across launches. Adjusted CSV data path for data collection to ensure accurate streaming on the second launch, reducing data gaps and misalignment in test runs. These changes enhance simulation fidelity, reduce debugging time, and support more reliable validation cycles.
2 Commits
Jan 1, 2026January 2026 monthly summary for CURocketEngineering/Avionics: Implemented simulation reliability improvements to stabilize launch detection, state transitions, and data streaming. Reverted prior simulation changes and updated statemachine logic to ensure deterministic behavior across launches. Adjusted CSV data path for data collection to ensure accurate streaming on the second launch, reducing data gaps and misalignment in test runs. These changes enhance simulation fidelity, reduce debugging time, and support more reliable validation cycles.
January 2026
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Pythondata loggingdata processingembedded systemsserial communicationsimulationstate machine design
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline