Developed a Crusoe managed inference backend with an OpenAI-compatible API wrapper for the yhyang201/sglang repository, enabling seamless integration with downstream services and MLOps workflows. Focused on backend development and API integration using Python, the work established a production-ready foundation by aligning the backend API surface with OpenAI’s contract. Comprehensive unit tests were implemented to verify core functionality and ensure robust API key validation and error handling, reducing production risks and supporting future scalability. The approach emphasized clean API boundaries and reliable test coverage, resulting in a maintainable backend that facilitates straightforward expansion and integration for machine learning inference tasks.