Gilbertta focused on improving the reliability of numeric validation in the PDM4AR/exercises repository by addressing a floating-point precision issue in radius calculations for exercise 05. She enhanced the evaluation logic by introducing an absolute tolerance parameter to Python’s math.isclose function, which prevents false negatives caused by edge-case floating-point discrepancies. This adjustment ensures that both learners and automated systems receive accurate feedback when validating radius values. Gilbertta applied her skills in software development and testing to deliver a targeted bug fix, maintaining traceability by linking her changes to the relevant issue for future auditability and supporting robust, maintainable code quality.