Worked on the sktime/sktime repository to refactor the testing configuration for the MCDCNNClassifier, focusing on improving test organization and maintainability. The approach involved moving test skip logic from a centralized configuration file to estimator-level tags, aligning with repository guidelines for more granular control and easier test management. This change reduced maintenance overhead and enhanced continuous integration stability for deep learning classifier tests. The work demonstrated proficiency in Python, PyTest tagging, and software testing architecture, with close collaboration alongside maintainers. No major bugs were addressed during this period, as the primary emphasis was on test reliability and repository governance practices.