During September 2025, Deepika Rajani developed and merged a feature for the Intel-tensorflow/tensorflow repository that enhanced Google Cloud Storage integration with Hierarchical Namespace (HNS) support. She implemented a C++ API enabling atomic folder renames in HNS-enabled buckets, which eliminated the need for slow copy-based workflows and improved operational efficiency. Additionally, she introduced a storage layout API that allows GcsFileSystem to detect HNS-enabled buckets, expanding storage introspection capabilities. Her work focused on robust API development, cloud storage integration, and comprehensive unit testing. The feature addressed a nuanced storage management challenge and demonstrated depth in both design and implementation within a complex codebase.