Worked on the SamSike/OpenDrop_OP repository to enable seamless data interoperability between ConanML and OpenDrop, focusing on the reliability and maintainability of the data acquisition pipeline. Developed a Python-based conversion utility that transforms ConanML data structures into the OpenDrop format, supporting downstream IFT analysis. Updated dependency management by aligning requirements-stable.txt with the latest tensorflow-io-gcs-filesystem version to meet evolving data loading needs. Refactored the ift_acquisition.py module to improve code organization and readability, laying groundwork for future enhancements. The work emphasized data conversion, dependency management, and Python scripting, addressing integration challenges within a specialized data processing workflow over a one-month period.