The Project

Problem: Clinical and hospital workflows are complex, and many tools fail because they do not handle access control, auditability, and data consistency properly. The goal here was to contribute to an open-source ERP style system where correctness and clean data flow matter. What I worked on: I implemented authentication and dashboard-related functionality, focusing on practical user flows and safe access patterns. I also added tests to reduce regressions, because health-related tooling changes often break in subtle ways if they are not guarded. How I approached it: I focused on predictable backend interaction patterns and database correctness. That meant paying attention to how data is queried, how sessions or tokens are handled, and how errors are surfaced to the user and the logs. I also tried to keep changes reviewable, so maintainers could understand why each change exists. Outcome: The project strengthened my comfort contributing to a shared codebase, working with an existing architecture, and shipping improvements that prioritise correctness and stability over shortcuts.