Worked on the kernelci/dashboard repository to enhance dashboard filtering capabilities by implementing multi-filter support for tree queries. Refactored core backend components in Python to allow multiple conditions on the same field, introducing a get_grouped_filters method that improved both data retrieval accuracy and flexibility. Focused on backend development and database query optimization, the work addressed a critical bug that previously limited filtering to a single condition per field. These changes reinforced data correctness and responsiveness in analytics workflows, laying the foundation for more expressive dashboards and advanced analytics scenarios that can handle complex filter requirements in production environments.