April 2026 Monthly Summary for opendatahub-io/odh-dashboard: Key features delivered include Vector store provider discovery API with LlamaStack integration, UI/backend support, tests, and updated docs; Automl/Autorag configuration UX enhancements with branded headers, improved model selection (sorting/pagination), explicit validation, preserved Cancel navigation, and contextual empty-state messaging; Input Parameters panels for runs and results with tests and UI refinements; Dynamic topology node sizing to accommodate long task labels with tests; UI cleanup and artifact path improvements. Major bugs fixed include naming consistency: vector_database_id renamed to vector_io_provider_id; fix for feature summary loading infinite state in regression runs and near-zero display formatting issues; preserved namespace in Cancel link to prevent UI flicker; and prediction-type tile interaction fixes with tests. These changes collectively improve discoverability of vector stores, configuration reliability, and overall UX. Technologies/skills demonstrated include React/SCSS UI work, TypeScript, API integration with LlamaStack, comprehensive testing, and documentation updates.

March 2026: Delivered critical features and security hardening across the ODH dashboards, enabling faster experiment configuration, richer model discovery, and more secure integration workflows. The work combined frontend improvements (modals and UI), backend/API enhancements (LlamaStack and LSD endpoints with proper auth and secret-based access), and data governance/testing investments to reduce cycle time, improve reliability, and strengthen security and compliance.