SkillsFundingAgency/das-findapprenticeshiptraining
Jul 2025 – Jul 2025
1 Month active
Languages Used
C#
Technical Skills
API IntegrationBackend DevelopmentCachingSession ManagementUnit Testing
nasaf
PROFILE
Nasaf
During July 2025, Nasaf Ali enhanced data access performance and reliability in the SkillsFundingAgency/das-findapprenticeshiptraining repository by refactoring the caching mechanism for academic years, routes, and levels. He implemented a GetOrSetAsync pattern using C# to prioritize session services as the primary data source, with intelligent fallbacks to cache or API when needed. This approach incorporated robust error handling to ensure data availability even if all sources failed. By focusing on backend development, API integration, and session management, Nasaf reduced API load, improved system resilience, and delivered faster, more consistent data retrieval for apprenticeship workflows, demonstrating thoughtful engineering depth.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
745
Activity Months1
Your Network
5 people
Work 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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