
Aysha Shaikh contributed to the DEFRA/epr-calculator-service and DEFRA/epr-calculator-api repositories, focusing on backend enhancements that improved data integrity, security, and error reporting. She implemented new data model fields for obligation tracking, strengthened database access controls, and delivered targeted bug fixes such as reordering PayCal error reports for clearer triage. Using C#, Entity Framework, and robust migration scripting, Aysha ensured that changes were production-safe and maintainable. Her work included comprehensive unit testing and data validation, addressing both feature development and critical bug resolution. These efforts enhanced observability, compliance tracking, and overall reliability of business-critical calculation services.

January 2026 performance summary for DEFRA/epr-calculator-service focused on stabilizing PayCal error reporting. Delivered a targeted bug fix that reorders the PayCal Error table to prioritize parent entries over subsidiaries, clarified sorting logic, and added a test error code to guard against regressions. This work improves error report clarity, reduces triage time, and strengthens observability for business-critical calculations.
January 2026 performance summary for DEFRA/epr-calculator-service focused on stabilizing PayCal error reporting. Delivered a targeted bug fix that reorders the PayCal Error table to prioritize parent entries over subsidiaries, clarified sorting logic, and added a test error code to guard against regressions. This work improves error report clarity, reduces triage time, and strengthens observability for business-critical calculations.
December 2025 performance summary for DEFRA ePR projects, highlighting security improvements, data integrity fixes, and robustness enhancements across API and service layers.
December 2025 performance summary for DEFRA ePR projects, highlighting security improvements, data integrity fixes, and robustness enhancements across API and service layers.
2025-11 Monthly Summary: Focused on strengthening data integrity, observability, and reporting for EPR calculator components. Delivered API data-model enhancements with new obligation tracking and submitter ID fields, plus migrations, and fixed critical error reporting and filtering in the calculator service to improve run accuracy and compliance tracking. These efforts improved business value by enabling better obligation visibility, traceability, and data-driven decision-making.
2025-11 Monthly Summary: Focused on strengthening data integrity, observability, and reporting for EPR calculator components. Delivered API data-model enhancements with new obligation tracking and submitter ID fields, plus migrations, and fixed critical error reporting and filtering in the calculator service to improve run accuracy and compliance tracking. These efforts improved business value by enabling better obligation visibility, traceability, and data-driven decision-making.
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