Worked on backend development for the infiniflow/ragflow repository, focusing on improving the reliability of file parsing workflows integrated with Azure Blob storage. Addressed a critical bug by updating the Python-based storage backend to accept tenant_id as a parameter, which resolved runtime errors during data ingestion. This change ensured that the parsing process could handle tenant-specific storage requirements, reducing failures and downtime when Azure Blob was used as the file container. The work emphasized Azure integration and backend extensibility, aligning storage interface compatibility across different implementations and laying the foundation for smoother, more robust data processing in multi-tenant environments.