Developed a flexible YAML target selection feature for the et_operator_library within the pytorch/executorch repository, focusing on enhancing configuration management and build system adaptability. Leveraging Python, the work introduced selector-based targeting for functions.yaml and custom_ops.yaml, allowing the operator workflow to adapt seamlessly to various processors and deployment constraints. This approach reduced manual configuration overhead and improved the maintainability of custom operation workflows. By enabling configurable YAML targets, the solution streamlined deployment processes and future-proofed the operator infrastructure, emphasizing technical robustness and business value. The work demonstrated depth in build system development and configuration management without addressing bug fixes.