During January 2026, Phu V. Huynh developed streamlined low-energy signal processing configurations for the DUNE/dunereco and DUNE/dunesw repositories. Focusing on C++ and leveraging expertise in data analysis and signal processing, Phu simplified configuration files and removed background noise handling, enabling clearer signal extraction and more efficient reconstruction for low-energy scenarios. The work involved cross-repository alignment to ensure consistency and maintainability, reducing configuration complexity and dependencies on background removal networks. These enhancements accelerated analysis workflows and facilitated faster iteration cycles, reflecting a thoughtful approach to scientific computing challenges and delivering measurable improvements in both processing efficiency and maintainability.