Contributed to the radicalbit-ai-monitoring repository by delivering end-to-end project management features and enhancing AI monitoring capabilities. Focused on strengthening data drift detection through flexible drift method management and robust field validation, ensuring consistent tracking across both API and SDK layers. Developed project CRUD endpoints, data models, and migrations to streamline onboarding and governance. Improved test infrastructure by aligning mock data and organizing imports for reliable unit testing. Leveraged Python, FastAPI, and SQLAlchemy to implement backend logic, data modeling, and validation. These efforts resulted in faster drift detection, safer project management, and higher release quality within a single development cycle.