UAVGCSTeam/GCS
Oct 2024 – Mar 2025
3 Months active
Languages Used
JavaScriptQMLC++
Technical Skills
Front End DevelopmentJavaScriptQMLUI DevelopmentError HandlingFront-end Development
cmccarry
PROFILE
Cmccarry
Over three months, Conor McCarry developed and enhanced operator-facing features for the UAVGCSTeam/GCS repository, focusing on drone management and mission control workflows. He implemented real-time drone list filtering and a dynamic command menu using QML and JavaScript, improving operator efficiency and reducing cognitive load. Conor integrated SQLite-backed drone data loading at startup with C++ and Qt, enabling immediate access to drone records and streamlining onboarding. His work emphasized robust error handling, UI-driven validation, and modular frontend components, resulting in maintainable code and reliable user experiences. These contributions addressed workflow bottlenecks and improved data integrity without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
5
Lines of code
555
Activity Months3
Your Network
14 peopleShared Repositories
14
Work History
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 performance highlights for UAVGCSTeam/GCS. Delivered startup-driven drone data loading and enhanced the dynamic drone tracker UI, resulting in faster onboarding and more reliable operator workflow. Implemented startup load of drones from SQLite via DBManager.fetchAllDrones, populated the DroneController, and initialized default fields (status: 'Not Connected', battery: 'NA') to enable immediate, testable operation. Strengthened UI reliability with auto-refresh on CRUD events and migrated deletion to xbeeId for accurate identification. These changes reduce manual setup, improve data integrity, and provide a smoother user experience for mission planning and execution.
3 Commits • 2 Features
Mar 1, 2025March 2025 performance highlights for UAVGCSTeam/GCS. Delivered startup-driven drone data loading and enhanced the dynamic drone tracker UI, resulting in faster onboarding and more reliable operator workflow. Implemented startup load of drones from SQLite via DBManager.fetchAllDrones, populated the DroneController, and initialized default fields (status: 'Not Connected', battery: 'NA') to enable immediate, testable operation. Strengthened UI reliability with auto-refresh on CRUD events and migrated deletion to xbeeId for accurate identification. These changes reduce manual setup, improve data integrity, and provide a smoother user experience for mission planning and execution.
March 2025
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for UAVGCSTeam/GCS: Delivered key UI enhancements for drone management and a new GCS command menu, strengthening operator efficiency and mission readiness. Changes were implemented with robust error handling and UI-driven validation, reducing onboarding friction and runtime issues.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for UAVGCSTeam/GCS: Delivered key UI enhancements for drone management and a new GCS command menu, strengthening operator efficiency and mission readiness. Changes were implemented with robust error handling and UI-driven validation, reducing onboarding friction and runtime issues.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 – Focused on delivering a user-facing feature that boosts operator efficiency and situational awareness in UAV operations. Implemented Real-time Drone Tracking List Filtering for UAVGCSTeam/GCS by adding a search bar with a TextField and JavaScript-based filtering, enabling real-time, name-based filtering of the drone list. This aligns with standard frontend performance and UX best practices while keeping changes small and maintainable. No major bugs fixed were reported for this repo in this period.
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 – Focused on delivering a user-facing feature that boosts operator efficiency and situational awareness in UAV operations. Implemented Real-time Drone Tracking List Filtering for UAVGCSTeam/GCS by adding a search bar with a TextField and JavaScript-based filtering, enabling real-time, name-based filtering of the drone list. This aligns with standard frontend performance and UX best practices while keeping changes small and maintainable. No major bugs fixed were reported for this repo in this period.
October 2024
Activity
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Quality Metrics
Correctness81.4%
Maintainability80.0%
Architecture74.4%
Performance71.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaScriptQML
Technical Skills
Backend DevelopmentC++Database IntegrationDatabase ManagementError HandlingFront End DevelopmentFront-end DevelopmentFrontend DevelopmentJavaScriptQMLQt FrameworkQt QuickSignal/Slot MechanismUI Development
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