Worked on the apache/hamilton repository to enhance backend robustness by addressing a critical JSON serialization issue involving NaN and Infinity float values. Applied Python to update the make_json_safe function, leveraging json.dumps with allow_nan set to False and implementing targeted error handling to serialize out-of-range floats as strings. This approach prevented runtime errors when transmitting data to the tracker and Hamilton UI, thereby improving data pipeline reliability and reducing support incidents. Focused on error handling and testing to ensure that data integrity was maintained throughout the process, resulting in a more stable and predictable backend environment for downstream systems.