Worked on optimizing disk I/O scheduling for the SSAFYnity/Job-Preparation-Challenge-5th repository, focusing on improving performance and resource utilization. Developed a Disk Controller Scheduling Optimization feature using Python, applying algorithmic techniques such as arrival-based sorting and shortest-job-first processing. This approach aimed to minimize total waiting time and increase throughput for disk operations, addressing efficiency challenges in job scheduling. Leveraged strong skills in algorithms, data structures, and problem solving to implement the solution, prioritizing reliability and performance improvements. No major bugs were addressed during this period, as the primary focus remained on feature development and enhancing scheduling logic within the project.