Kushmi worked on the Shopify/discovery-apache-beam repository, delivering a feature to improve cross-environment caching in Apache Beam by normalizing file paths during code pickling. Using Python, Kushmi replaced absolute paths with relative ones in the co_filename attribute, addressing portability and reducing information leakage between environments. The implementation introduced a get_normalized_path helper, supporting robust serialization and more secure caching behavior. While no major bugs were addressed during this period, the work demonstrated depth in system design and caching, laying the foundation for future cache improvements. Kushmi’s contributions focused on enhancing the reliability and security of distributed Python workflows in this context.