Neel Skylark focused on backend development and API robustness for the BerriAI/litellm repository, addressing metadata synchronization and fallback logic for DeepSeek model integrations. Using Python, Neel implemented a mechanism to align provider-prefixed and bare-name model metadata, ensuring accurate capability reporting and consistent token limits. To handle missing data, Neel introduced a fallback that references canonical entries, improving reliability in capability queries. The work included fixing a lint issue and adding fourteen regression tests to validate data consistency and API correctness. This targeted approach enhanced the reliability of model selection and invocation, reflecting careful attention to testing and maintainability.