Worked on stabilizing and enhancing core workflows in the astronomer/airflow and apache/iceberg-python repositories, focusing on reliability, user experience, and memory efficiency. Addressed frontend and backend issues in Airflow by improving error handling in CLI commands, refining UI state synchronization, and enabling user redirection after login. Enhanced API pagination through improved cursor encoding using Python and TypeScript. In iceberg-python, introduced a dictionary_columns parameter for PyArrow Parquet reads, optimizing memory usage for large datasets. Emphasized robust unit testing and regression coverage throughout, ensuring reduced downtime and smoother user workflows in large-scale deployments. Demonstrated strengths in API development, React, and data processing.