Xiyou Zhou enhanced the data ingestion and input processing pipeline for language modeling in the apple/axlearn repository, focusing on improving reliability and scalability. Leveraging Python and data processing expertise, Xiyou upgraded the grain library version and introduced targeted automated tests to address edge cases in dataset handling. These enhancements stabilized the pipeline, reducing the likelihood of failures during language model training and supporting future scalability. The work demonstrated a methodical approach to testing and integration, with careful attention to edge-case robustness. While the project scope was focused, the technical depth ensured a more resilient and maintainable data processing workflow.