ISSUIUC/MIDAS-Software
Jan 2025 – Apr 2025
3 Months active
Languages Used
C++
Technical Skills
C++Embedded SystemsIMUSensor FusionAerodynamicsAerospace Engineering
Keshav B
PROFILE
Keshav B
Keshav Balaji contributed to the ISSUIUC/MIDAS-Software repository by developing and refining real-time sensor fusion and detection features over a three-month period. He implemented a complementary filter in C++ to fuse gyroscope and accelerometer data, improving orientation accuracy and tilt estimation for embedded systems. Keshav stabilized the Extended Kalman Filter by addressing memory management and reorganizing aerodynamic coefficient handling, enhancing both reliability and maintainability. He also introduced a background thread for periodic feather detection, leveraging real-time operating system techniques such as thread core pinning. His work demonstrated depth in sensor fusion, Kalman filtering, and embedded software development for aerospace applications.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
4
Lines of code
865
Activity Months3
Your Network
19 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for ISSUIUC/MIDAS-Software. Focused on delivering a robust Feather Detection Background Thread to improve real-time detection reliability and messaging throughput. No additional major bugs were reported in the provided data.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for ISSUIUC/MIDAS-Software. Focused on delivering a robust Feather Detection Background Thread to improve real-time detection reliability and messaging throughput. No additional major bugs were reported in the provided data.
April 2025
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly performance summary for ISSUIUC/MIDAS-Software. Focused on stabilizing the Extended Kalman Filter (EKF), reorganizing the aerodynamic coefficient handling, and cleaning the codebase to simplify maintenance. Key changes delivered memory management fixes in the EKF, a refactor of the aerodynamic model to improve organization and potential accuracy, and targeted codebase cleanup. Also addressed a minor EKF syntax issue to ensure clean builds. Overall, these efforts reduce memory leak risk, improve model clarity, and lower maintenance costs while preserving or improving run-time stability.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly performance summary for ISSUIUC/MIDAS-Software. Focused on stabilizing the Extended Kalman Filter (EKF), reorganizing the aerodynamic coefficient handling, and cleaning the codebase to simplify maintenance. Key changes delivered memory management fixes in the EKF, a refactor of the aerodynamic model to improve organization and potential accuracy, and targeted codebase cleanup. Also addressed a minor EKF syntax issue to ensure clean builds. Overall, these efforts reduce memory leak risk, improve model clarity, and lower maintenance costs while preserving or improving run-time stability.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for ISSUIUC/MIDAS-Software focusing on sensor fusion enhancements and orientation accuracy. Delivered a complementary filter to fuse gyroscope and accelerometer data to produce smoother orientation (yaw, pitch, roll) and more robust tilt calculation. Addressed axis handling and Euler angle component usage to ensure accurate attitude data. These changes improve measurement reliability for navigation/UI components and downstream systems.
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for ISSUIUC/MIDAS-Software focusing on sensor fusion enhancements and orientation accuracy. Delivered a complementary filter to fuse gyroscope and accelerometer data to produce smoother orientation (yaw, pitch, roll) and more robust tilt calculation. Addressed axis handling and Euler angle component usage to ensure accurate attitude data. These changes improve measurement reliability for navigation/UI components and downstream systems.
January 2025
Activity
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Quality Metrics
Correctness88.8%
Maintainability85.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
AerodynamicsAerospace EngineeringC++Embedded SystemsIMUKalman FiltersReal-time Operating SystemsSensor FusionSoftware Development
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