airport-ai-facility-monitoring/backend_workspace
Jul 2025 – Aug 2025
2 Months active
Languages Used
JavaXMLJSXJavaScriptPythonSQL
Technical Skills
Backend DevelopmentDependency ManagementDomain-Driven DesignJavaMavenSpring Boot
김민욱
PROFILE
김민욱
Worked on the airport-ai-facility-monitoring/backend_workspace repository to deliver backend systems supporting real-time facility monitoring and alerting. Developed features such as runway object detection enhancements, a core alerts system, and notification logs, focusing on stability, maintainability, and real-time data flow. Implemented deduplication logic in the YOLO API to reduce redundant transmissions and expanded media handling with video upload and playback. Improved user experience through dashboard and notification log updates, while strengthening onboarding with enhanced signup validation. Utilized Java, Spring Boot, and React, applying domain-driven design, event-driven architecture, and robust error handling to ensure scalable, reliable backend and frontend integration.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
27Total
Bugs
5
Commits
27
Features
12
Lines of code
2,601
Activity Months2
Your Network
1140 peopleWork History
August 2025
24 Commits • 10 Features
Aug 1, 2025August 2025: Delivered robust alerting and notification capabilities for the airport facility monitoring backend, with real-time UX improvements and stronger data flow. Implemented a core Alerts system and notification logs, reduced duplicate data transmissions through 30-second dedup logic in YOLO API, and enhanced dashboards/home views for real-time visibility. Expanded media handling (video upload, MP4 assets) and strengthened signup flow (email required). Stabilized the notification subsystem and resolved key UI regressions to improve operator efficiency and reliability across the platform.
24 Commits • 10 Features
Aug 1, 2025August 2025: Delivered robust alerting and notification capabilities for the airport facility monitoring backend, with real-time UX improvements and stronger data flow. Implemented a core Alerts system and notification logs, reduced duplicate data transmissions through 30-second dedup logic in YOLO API, and enhanced dashboards/home views for real-time visibility. Expanded media handling (video upload, MP4 assets) and strengthened signup flow (email required). Stabilized the notification subsystem and resolved key UI regressions to improve operator efficiency and reliability across the platform.
August 2025
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for airport-ai-facility-monitoring/backend_workspace: Delivered key backend improvements including dependency maintenance, feature enrichments for runway detection events, and code quality refactor to simplify control flow. Focused on stability, data quality, and maintainability to support scalable analytics and faster iteration.
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for airport-ai-facility-monitoring/backend_workspace: Delivered key backend improvements including dependency maintenance, feature enrichments for runway detection events, and code quality refactor to simplify control flow. Focused on stability, data quality, and maintainability to support scalable analytics and faster iteration.
Activity
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Quality Metrics
Correctness83.0%
Maintainability83.8%
Architecture76.2%
Performance78.6%
AI Usage23.0%
Skills & Technologies
Programming Languages
JSXJavaJavaScriptPythonSQLXML
Technical Skills
AI IntegrationAPI DevelopmentAPI Error HandlingAPI IntegrationBackend DevelopmentCORSCloud ConfigurationDatabase ManagementDependency ManagementDomain-Driven DesignError HandlingEvent HandlingEvent-Driven ArchitectureException HandlingFastAPI
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