Developed a new Award Recommendation Risk Deletion Endpoint for the HHS/simpler-grants-gov repository, focusing on enhancing risk lifecycle management within the award recommendation process. Leveraged Python and Flask to design and implement the API endpoint, ensuring robust integration with existing database structures. Emphasized test-driven development by creating automated unit tests in alignment with technical specifications and validation requirements, supporting reliable deployment and future extensibility. The work streamlined risk removal, reducing manual intervention and improving data integrity across the workflow. Documentation and validation steps were clearly outlined, demonstrating a methodical approach to API development, database management, and quality assurance practices.