Worked on the lsst/drp_pipe repository to enhance the reliability and maintainability of the data processing pipeline through targeted configuration management. Addressed out-of-memory risks by tuning memory allocations for core processing tasks using YAML-based configuration files, ensuring stable performance under heavy workloads. Later, streamlined the pipeline by removing obsolete configuration settings that had been superseded by new deconvolution functionality, reducing complexity and maintenance overhead. Demonstrated a methodical approach to configuration-driven problem solving, focusing on reproducibility and operational stability. Utilized skills in YAML and configuration management to deliver incremental improvements that minimized manual intervention and aligned the pipeline with evolving technical requirements.