Amrita Vinod-Naik enhanced Spark memory management for the HPEEzmeral/aie-tutorials repository by updating YAML configuration files to use correct memory units and increased limits, aiming to improve Spark job performance and resource allocation. She applied these changes through three targeted commits, ensuring consistency across the repository and aligning with best practices for memory management. Her work focused on configuration management and data engineering, leveraging skills in Spark and YAML to deliver more predictable resource usage and potential throughput gains. Although the scope was limited to configuration improvements, the updates addressed a core aspect of Spark workload reliability and operational efficiency.