mcgill-robotics/auv-embedded-2025
Sep 2025 – Jan 2026
3 Months active
Languages Used
YAMLC++plaintextCMarkdown
Technical Skills
CI/CDDevOpsArduinoC++C++ programmingROS
asiancooki
PROFILE
Asiancooki
Worked on the mcgill-robotics/auv-embedded-2025 repository, delivering eight features and one bug fix over three months focused on embedded systems and robotics. Developed and refined ROS-based depth sensor display and touchscreen interfaces, streamlined CI/CD pipelines using YAML, and enhanced documentation for faster onboarding and maintainability. Improved depth data streaming by implementing timer-based measurement in C and C++, and simplified hardware interaction by cleaning up display logic. Integrated ROS1 display functionality and standardized actuator naming for consistency. Addressed repository ownership policies and fixed syntax errors to improve stability, demonstrating a collaborative approach with strong emphasis on documentation, version control, and DevOps.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
8
Lines of code
1,725
Activity Months3
Your Network
14 peopleShared Repositories
14
Work History
January 2026
10 Commits • 5 Features
Jan 1, 2026January 2026 monthly summary for mcgill-robotics/auv-embedded-2025. This period focused on documentation, display simplification, depth data streaming improvements, and ROS1 integration, delivering clearer onboarding, more robust runtime behavior, and streamlined build/setup processes. The changes emphasize business value: faster onboarding, reduced maintenance burden, and improved data reliability for monitoring and control of the AUV platform.
10 Commits • 5 Features
Jan 1, 2026January 2026 monthly summary for mcgill-robotics/auv-embedded-2025. This period focused on documentation, display simplification, depth data streaming improvements, and ROS1 integration, delivering clearer onboarding, more robust runtime behavior, and streamlined build/setup processes. The changes emphasize business value: faster onboarding, reduced maintenance burden, and improved data reliability for monitoring and control of the AUV platform.
January 2026
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025: Delivered critical policy updates and UI capabilities for the AUV embedded platform, with a clear ownership model, a new ROS2-based depth-sensor display and touchscreen interface, and a stability improvement through a syntax fix. These efforts advance usability, maintainability, and readiness for hardware-in-the-loop testing.
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025: Delivered critical policy updates and UI capabilities for the AUV embedded platform, with a clear ownership model, a new ROS2-based depth-sensor display and touchscreen interface, and a stability improvement through a syntax fix. These efforts advance usability, maintainability, and readiness for hardware-in-the-loop testing.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for mcgill-robotics/auv-embedded-2025: Focused on CI/CD optimization and repository maintainability. Key feature delivered: CI/CD Schedule Optimization by reducing the platformio-ci.yml cadence from every 30 minutes to once daily, lowering build load and resource consumption. No major bugs fixed are documented for this period. Overall impact includes more efficient CI cycles, reduced resource usage, and clearer configuration management. Technologies demonstrated include YAML-based CI/CD configuration, commit-level traceability, and performance-oriented actuation of development pipelines.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for mcgill-robotics/auv-embedded-2025: Focused on CI/CD optimization and repository maintainability. Key feature delivered: CI/CD Schedule Optimization by reducing the platformio-ci.yml cadence from every 30 minutes to once daily, lowering build load and resource consumption. No major bugs fixed are documented for this period. Overall impact includes more efficient CI cycles, reduced resource usage, and clearer configuration management. Technologies demonstrated include YAML-based CI/CD configuration, commit-level traceability, and performance-oriented actuation of development pipelines.
September 2025
Activity
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Quality Metrics
Correctness94.2%
Maintainability92.8%
Architecture92.8%
Performance94.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++MarkdownYAMLplaintext
Technical Skills
ArduinoC programmingC++C++ programmingCI/CDDevOpsROScollaborationdocumentationembedded systemsroboticsteam collaborationtechnical writingversion control
Repositories Contributed To
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