ISSUIUC/MIDAS-Software
Dec 2024 – Feb 2026
3 Months active
Languages Used
C++CINIMarkdownShellYAML
Technical Skills
Data FilteringEmbedded SystemsSensor IntegrationC++C/C++CI/CD
Zyun Lam
PROFILE
Zyun Lam
Over a three-month period, contributed to ISSUIUC/MIDAS-Software by developing and refining embedded telemetry and sensor integration features. Work included end-to-end GPS integration with accelerometer data, migration of the telemetry stack to a robust LoRa library, and enhancements to barometer data validation for improved sensor reliability. Applied C++ and C/C++ skills to implement hardware drivers, data filtering, and control systems, while clarifying Extended Kalman Filter acceleration handling to support maintainability. Focused on improving data quality, transmission stability, and code clarity, these efforts streamlined hardware initialization, reduced onboarding time, and enabled more accurate and reliable telemetry for flight-critical applications.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
20Total
Bugs
2
Commits
20
Features
6
Lines of code
100,989
Activity Months3
Your Network
206 peopleSame Organization
@illinois.edu184
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for ISSUIUC/MIDAS-Software: Focused on maintainability and clarity in the EKF path. Delivered a clear clarification on how acceleration is applied within the Extended Kalman Filter to prevent misinterpretation and to aid future maintenance. No major user-facing bugs fixed; included a minor comment cleanup tied to the EKF acceleration handling. This work reduces onboarding time, mitigates risk of incorrect EKF usage, and supports more reliable downstream behavior.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for ISSUIUC/MIDAS-Software: Focused on maintainability and clarity in the EKF path. Delivered a clear clarification on how acceleration is applied within the Extended Kalman Filter to prevent misinterpretation and to aid future maintenance. No major user-facing bugs fixed; included a minor comment cleanup tied to the EKF acceleration handling. This work reduces onboarding time, mitigates risk of incorrect EKF usage, and supports more reliable downstream behavior.
February 2026
February 2025
18 Commits • 5 Features
Feb 1, 2025February 2025 performance highlights for ISSUIUC/MIDAS-Software: delivered end-to-end GPS integration with accelerometer readings and GPS data validation, migrated the telemetry stack to a robust SX126x-Arduino-based LoRa library, and strengthened sensor hardware support and startup reliability. These changes improved data quality, transmission stability, and maintainability, enabling more accurate telemetry, simpler onboard initialization, and faster feature iteration.
February 2025
18 Commits • 5 Features
Feb 1, 2025February 2025 performance highlights for ISSUIUC/MIDAS-Software: delivered end-to-end GPS integration with accelerometer readings and GPS data validation, migrated the telemetry stack to a robust SX126x-Arduino-based LoRa library, and strengthened sensor hardware support and startup reliability. These changes improved data quality, transmission stability, and maintainability, enabling more accurate telemetry, simpler onboard initialization, and faster feature iteration.
December 2024
1 Commits
Dec 1, 2024December 2024 (ISSUIUC/MIDAS-Software) focused on strengthening sensor data reliability and data quality through targeted barometer data validation enhancements. No new feature releases this month; key work centered on improving rogue reading rejection thresholds and standardizing units for pressure and temperature to support downstream analytics and flight-critical decisions.
1 Commits
Dec 1, 2024December 2024 (ISSUIUC/MIDAS-Software) focused on strengthening sensor data reliability and data quality through targeted barometer data validation enhancements. No new feature releases this month; key work centered on improving rogue reading rejection thresholds and standardizing units for pressure and temperature to support downstream analytics and flight-critical decisions.
December 2024
Activity
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Quality Metrics
Correctness82.0%
Maintainability82.0%
Architecture72.0%
Performance68.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++INIMarkdownShellYAML
Technical Skills
C++C++ programmingC/C++CI/CDData FilteringData ProcessingDebuggingDocumentation ManagementDriver DevelopmentEmbedded SystemsFirmware DevelopmentGitHardware DebuggingHardware IntegrationHardware Interaction
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