Aditya stabilized data validation workflows for the cleanlab/cleanlab-codex repository by addressing a critical validation break caused by the transition to Pydantic v2. Focusing on Python and leveraging skills in API integration and data validation, Aditya updated project dependencies and refactored validation logic within the project and organization modules. This work ensured accurate parsing and validation of data when querying projects and listing organizations, directly reducing runtime errors and improving the reliability of downstream business processes. The depth of the work lay in adapting to new library requirements while maintaining robust data handling, resulting in smoother and more dependable application behavior.