Worked on enhancing the stability and reliability of the Spark plugin’s fast registration path in the flyteorg/flytekit repository. Addressed a critical issue where improper use of Python’s tempfile handling led to an infinite loop, replacing TemporaryDirectory().name with mkdtemp() to ensure correct archive creation and integration with the Spark context. Updated and expanded unit tests to cover the revised registration workflow, reinforcing test coverage and reducing the risk of production regressions. Focused on bugfixing and testing using Python and Spark, the work improved integration stability for large-scale workloads and contributed to more robust, production-ready Spark plugin behavior.