Jaya Kommuru enhanced the Meesho/BharatMLStack repository by developing targeted SDK improvements to support new data types and clarify column naming conventions. Using Python and data engineering skills, Jaya expanded the BharatML SDK’s compatibility with diverse data pipelines and models, addressing cross-team data contract requirements. The work included correcting unsigned integer parsing to prevent data integrity issues and refining the column renaming logic to incorporate feature group labels, which reduced naming conflicts and improved data lineage across feature stores. The project focused on maintainability and reliability, delivering a single, well-scoped feature that addressed specific needs in analytics and machine learning workflows.