Daniele Tria developed and enhanced AI monitoring features for the radicalbit-ai-monitoring repository, focusing on robust data drift detection and project governance. He implemented flexible drift method management and field validations across both API and SDK layers using Python, FastAPI, and SQLAlchemy, ensuring consistent and reliable drift tracking for categorical and numerical features. Daniele also introduced comprehensive project management capabilities, including CRUD endpoints, migrations, and SDK support, streamlining project onboarding and data model management. His work included strengthening test infrastructure and code quality through improved mocking and import organization, resulting in more reliable releases and maintainable backend systems within a single development cycle.