Worked on the angr/angr repository to enhance the AngrDB Loader, focusing on enabling multi-object loading and improving path handling for complex binary analysis workflows. Leveraging backend development and database management skills with Python, the work introduced support for loading multiple objects simultaneously and automated the creation of temporary files for non-existent paths. This update reduced manual setup and improved throughput by allowing batch loading and minimizing path-related failures. The changes established a more flexible and robust foundation for scalable, parallelizable analysis pipelines, while also improving maintainability and supporting future feature expansions through comprehensive unit testing and thoughtful architectural updates.