Qashikin worked on the potiuk/airflow repository, focusing on optimizing SageMaker notebook workloads by updating the default instance type to ml.m6i.xlarge. This change aimed to improve performance and resource allocation for Airflow-driven workflows. Qashikin implemented the update using Python, ensuring that both default and custom configurations were covered through expanded unit testing. The technical approach included aligning fallback and compatibility behaviors to maintain consistency across different configurations. By increasing test coverage, Qashikin enabled more reliable regression checks and reduced the risk of misconfiguration. The work demonstrated depth in backend development, AWS SageMaker integration, and robust validation practices.