Worked on enhancing the robustness of the Evaluate Experiment and Scoring Pipeline within the comet-ml/opik repository, focusing on Python development and software debugging. Addressed a critical bug by introducing a dedicated exception for scenarios lacking test cases, ensuring clearer error handling and more reliable evaluation outcomes. Improved the callable mapping logic to accurately process task outputs and extended the mapping to handle actual outputs, which increased the accuracy of scoring inputs. Added comprehensive unit tests to validate error paths and mapping behavior, resulting in a more dependable evaluation and scoring process. Emphasized exception handling and thorough unit testing throughout the work.