V-V-Team-2025A/Migrania-App
Jul 2025 – Aug 2025
2 Months active
Languages Used
CSSGherkinPythonDRFDjangoREST Framework
Technical Skills
Backend DevelopmentBehavior Driven DevelopmentCSSDatabase ModelingDjangoFrontend Development
Angel Chuncho
PROFILE
Angel Chuncho
Angel Chuncho developed core features for the V-V-Team-2025A/Migrania-App, focusing on enabling migraine self-assessment and improving user experience. Over two months, Angel delivered the MIDAS evaluation workflow, implementing backend logic, data modeling, and REST API endpoints using Django, Django REST Framework, and Python. The solution incorporated business rules such as a 90-day wait period, permissions handling, and automated disability grade calculation, supporting both patient insights and remote monitoring. Additionally, Angel enhanced frontend consistency by introducing CSS variable-based theming. The work demonstrated depth in backend architecture, data flow design, and cross-layer integration, supporting analytics and reducing manual processes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
1,201
Activity Months2
Work History
August 2025
3 Commits • 1 Features
Aug 1, 2025August 2025: Delivered the MIDAS self‑assessment feature for Migrania-App, enabling an end-to-end self‑assessment workflow with a 90‑day wait rule, supporting data modeling, business rules, REST API endpoints, disability grade calculation, permissions, and synchronized score handling across completion. Implemented backend foundations and DRF layers to support scalable, secure assessments, and updated data models/serializers to align with evolving requirements. This work reduces manual processes, improves user experience, and enables downstream analytics and reporting across the self‑assessment lifecycle.
3 Commits • 1 Features
Aug 1, 2025August 2025: Delivered the MIDAS self‑assessment feature for Migrania-App, enabling an end-to-end self‑assessment workflow with a 90‑day wait rule, supporting data modeling, business rules, REST API endpoints, disability grade calculation, permissions, and synchronized score handling across completion. Implemented backend foundations and DRF layers to support scalable, secure assessments, and updated data models/serializers to align with evolving requirements. This work reduces manual processes, improves user experience, and enables downstream analytics and reporting across the self‑assessment lifecycle.
August 2025
July 2025
4 Commits • 2 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on the Migrania-App. Highlights include delivering a new MIDAS Evaluation Feature to empower migraine self-assessment and follow-up planning, and implementing a cohesive UI background color theming across the app with a CSS variable and a necessary formatting fix. These efforts deliver tangible business value through improved patient insights, remote monitoring capabilities, and a more consistent user experience.
July 2025
4 Commits • 2 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on the Migrania-App. Highlights include delivering a new MIDAS Evaluation Feature to empower migraine self-assessment and follow-up planning, and implementing a cohesive UI background color theming across the app with a CSS variable and a necessary formatting fix. These efforts deliver tangible business value through improved patient insights, remote monitoring capabilities, and a more consistent user experience.
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.8%
Architecture88.6%
Performance85.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSDRFDjangoGherkinPythonREST Framework
Technical Skills
API DevelopmentBackend DevelopmentBehavior Driven DevelopmentBehavior-Driven Development (BDD)CSSDatabase DesignDatabase ModelingDjangoDjango REST FrameworkFrontend DevelopmentPermissions HandlingPythonSerializationUnit Testing
Repositories Contributed To
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