In April 2025, jvmead enhanced the DUNE/ndlar_flow repository by developing a peak-based hit finding feature using Python, with a focus on algorithm development and signal processing. The work involved refactoring the hit detection logic to identify signal maxima, or peaks, rather than relying on rising-edge detection, and introduced configurable parameters for peak detection methods. This approach improved the accuracy of hit localization by returning peak bin indices, which supports higher-quality downstream data analysis and calibration. The implementation emphasized maintainability and traceability, providing a robust foundation for future optimizations while addressing the specific needs of detector data workflows.