Worked on the Azure/AZNFS-mount repository to deliver an NFSv4 read-ahead optimization feature aimed at improving throughput for large-file operations. Refactored the read-ahead configuration and introduced modular functions for device ID extraction and dynamic read-ahead value setting, enabling more efficient handling of large read paths. The approach focused on performance optimization and maintainability, making future tuning and enhancements more straightforward. Leveraged shell scripting and system administration skills to implement and validate these changes, ensuring alignment with performance testing requirements. The work resulted in measurable latency reduction and improved readiness for further optimization within the NFSv4 subsystem using Shell.