SkillsFundingAgency/das-findapprenticeshiptraining
Jul 2025 – Jul 2025
1 Month active
Languages Used
C#
Technical Skills
API IntegrationBackend DevelopmentCachingSession ManagementUnit Testing
nasaf
PROFILE
Nasaf
Worked on the SkillsFundingAgency/das-findapprenticeshiptraining repository to deliver a performance and reliability upgrade for academic data access. Refactored backend caching for academic years, routes, and levels using C# and a GetOrSetAsync pattern, integrating session management to prioritize session data with intelligent fallbacks to cache or API sources. Implemented robust error handling to ensure data availability even when primary sources failed, resulting in faster data retrieval and reduced API load. Focused on backend development, API integration, and unit testing to enhance system resilience and user experience, addressing core workflows and improving the reliability of apprenticeship data access across the platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
745
Activity Months1
Your Network
6 peopleWork History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Implemented a significant performance and reliability upgrade for academic data access in SkillsFundingAgency/das-findapprenticeshiptraining. Refactored the caching for academic years, routes, and levels using a GetOrSetAsync pattern with session services, enabling smarter data source selection (session, cache, or API) and adding robust error handling when data cannot be retrieved from any source. Result: faster data retrieval, lower API load, and more resilient user experience across core workflows.
1 Commits • 1 Features
Jul 1, 2025July 2025: Implemented a significant performance and reliability upgrade for academic data access in SkillsFundingAgency/das-findapprenticeshiptraining. Refactored the caching for academic years, routes, and levels using a GetOrSetAsync pattern with session services, enabling smarter data source selection (session, cache, or API) and adding robust error handling when data cannot be retrieved from any source. Result: faster data retrieval, lower API load, and more resilient user experience across core workflows.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#
Technical Skills
API IntegrationBackend DevelopmentCachingSession ManagementUnit Testing
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