During January 2026, contributed to the Metaculus/metaculus repository by developing Active Forecast Notification Filtering, a feature designed to ensure that only users with active forecasts receive notification emails. This involved creating a backend helper in Django and Python to identify and exclude users who had withdrawn all forecasts, thereby reducing unnecessary notifications. The notification pipeline was updated to incorporate this filtering logic, ensuring that change emails were sent only to relevant users. Comprehensive unit tests were added to validate the new behavior, supporting long-term reliability and minimizing regression risk. The work focused on backend development and robust automated testing.