
Tom Gough developed and enhanced apprenticeship funding systems across the SkillsFundingAgency/das-apprenticeships, das-funding-apprenticeship-earnings, and das-apim-endpoints repositories. He focused on robust API development and integration using C#, ASP.NET, and Entity Framework, implementing features such as learning history tracking, withdrawal handling, and care details management. Tom introduced GUID-based key management and soft-delete workflows to improve data integrity and auditability, while refining event-driven architecture for accurate earnings recalculation. His work included comprehensive automated and acceptance testing with Gherkin, ensuring reliable end-to-end flows. These contributions strengthened data lifecycle management and reduced regression risk through improved test coverage and domain modeling.
January 2026 performance snapshot across three repositories: SkillsFundingAgency/das-apprenticeships, SkillsFundingAgency/das-funding-apprenticeship-earnings, and SkillsFundingAgency/das-apim-endpoints. Delivered key features around domain key management, archiving workflow improvements, period handling, and care details; fixed critical issues in earnings calculations and test coverage; expanded tests for multiple PILs and end-to-end flows. Improved data integrity with GUIDs and non-database keys, strengthened end-to-end reliability, and enhanced pricing/period accuracy. Business value includes more reliable data relationships, robust earnings processing, and reduced regression risk through broader test coverage.
January 2026 performance snapshot across three repositories: SkillsFundingAgency/das-apprenticeships, SkillsFundingAgency/das-funding-apprenticeship-earnings, and SkillsFundingAgency/das-apim-endpoints. Delivered key features around domain key management, archiving workflow improvements, period handling, and care details; fixed critical issues in earnings calculations and test coverage; expanded tests for multiple PILs and end-to-end flows. Improved data integrity with GUIDs and non-database keys, strengthened end-to-end reliability, and enhanced pricing/period accuracy. Business value includes more reliable data relationships, robust earnings processing, and reduced regression risk through broader test coverage.
December 2025: Delivered major cross-repo features that strengthen the learner data lifecycle, domain modeling, and earnings accuracy across three repos. This period focused on end-to-end data capture, robust state management, API surface improvements, and enhanced testing to support compliance and business decisioning.
December 2025: Delivered major cross-repo features that strengthen the learner data lifecycle, domain modeling, and earnings accuracy across three repos. This period focused on end-to-end data capture, robust state management, API surface improvements, and enhanced testing to support compliance and business decisioning.
November 2025: Across SkillsFundingAgency/das-funding-apprenticeship-earnings, SkillsFundingAgency/das-apim-endpoints, and SkillsFundingAgency/das-apprenticeships, delivered improvements to earnings accuracy, withdrawal handling, and data lifecycle management. Key outcomes include end-to-end testing alignment for Maths/English withdrawal/removal, enhanced logging and visibility, soft-delete support for ME courses, refined earnings re-evaluation post-withdrawal, robust withdrawal instalment handling, and API-level reversal support with safer event publishing. These changes improve financial accuracy, auditability, and resilience of the learner earnings lifecycle.
November 2025: Across SkillsFundingAgency/das-funding-apprenticeship-earnings, SkillsFundingAgency/das-apim-endpoints, and SkillsFundingAgency/das-apprenticeships, delivered improvements to earnings accuracy, withdrawal handling, and data lifecycle management. Key outcomes include end-to-end testing alignment for Maths/English withdrawal/removal, enhanced logging and visibility, soft-delete support for ME courses, refined earnings re-evaluation post-withdrawal, robust withdrawal instalment handling, and API-level reversal support with safer event publishing. These changes improve financial accuracy, auditability, and resilience of the learner earnings lifecycle.

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