Worked on strengthening model URI parsing in the mlflow/mlflow repository, focusing on backend reliability and error resilience. Addressed a bug by updating the parsing logic to support underscores in provider names, which previously caused misconfigurations. Enhanced URI validation and error handling to reduce runtime errors and improve the developer experience. Expanded the test suite using Python to cover additional malformed URI scenarios, ensuring broader coverage and robustness. The work emphasized backend development and thorough testing practices, resulting in more reliable model URI handling for users and reducing the risk of misconfigurations across the provider ecosystem within the mlflow/mlflow project.