In June 2025, delivered targeted improvements to reporting reliability, UI rendering stability, and UX consistency. Focused efforts on increasing observability for metrics, ensuring PIT report sections render reliably, and enabling the style guide to render without live patient data. These changes improve business visibility, reduce downtime in reporting workflows, and provide a smoother experience for users who rely on reporting and documentation features.

May 2025: Delivered the FY2026 transition for System Performance Measures (SPM) in greenriver/hmis-warehouse, establishing the FY2026 reporting baseline by cloning from FY2024, updating configuration/model/generator, migrating HudUtility to HudUtility2026, and implementing migration controls along with updated tests. Completed critical PIT census bug fix addressing household chronic status inheritance and entry date handling to ensure consistent counts across members. Improved test coverage and maintainability through testkit alignment and code cleanup. This work positions the team for a reliable FY2026 reporting cycle with reduced risk and clearer data lineage.

February 2025 — greenriver/hmis-frontend: Key features delivered include integrating Docker Hub login into the GitHub Actions workflow to publish Docker images, enabling automated image publishing and streamlined releases. Major bugs fixed: none reported this month. Overall impact: automated, secure, and faster CI/CD for frontend image publishing; improved release velocity and consistency across environments. Technologies/skills demonstrated: GitHub Actions, Docker, secrets management, CI/CD automation, frontend deployment pipelines.

November 2024 monthly summary for greenriver/hmis-warehouse focused on observability experimentation and stability. Key work involved attempting Yabeda metrics instrumentation with default labels and later rolling back those changes to avoid noisy or incorrect metrics in production. No customer-facing feature is shipped this month; instead, the effort established a disciplined approach to instrument, validate, and revert changes as needed to maintain production stability.