Worked on aiida-core to implement scalable streaming I/O for text data, focusing on memory-efficient processing of large files. Refactored the NodeRepository to utilize Python’s TextIOWrapper, enabling text-mode file access that streams data rather than loading entire files into memory. Enhanced the cif-file parsing interface to align with CifParser’s StringIO stream requirements, supporting seamless integration with the new streaming workflow. This work leveraged skills in file I/O, memory management, and dependency management, using both Python and YAML. The changes established a foundation for handling large datasets efficiently, improving the repository’s ability to process and parse text-based scientific data.