Worked on the zbirenbaum/openai-agents-python repository to enhance the stability and reliability of usage data processing. Addressed a recurring TypeError in the Usage class by implementing robust null handling for input and output token details, ensuring that missing or incomplete data no longer caused crashes. Focused on backend development using Python, with particular attention to data validation and error handling techniques. This fix improved the integrity of usage metrics, supporting more accurate downstream analytics and reducing edge-case failures in the data pipeline. Demonstrated a methodical approach to defensive coding, prioritizing data reliability and seamless operation within the analytics workflow.