During December 2024, Harsh Chauhan focused on stabilizing Falcon-180b text generation testing within the HabanaAI/optimum-habana-fork repository. He addressed a critical reset error by introducing a workaround flag and refining quantization configuration, directly improving the reliability of continuous integration and test pipelines. Working primarily in Python, Harsh applied his skills in model configuration and testing to ensure more consistent and efficient test runs. Although the work centered on bug resolution rather than feature development, his targeted approach resolved a complex issue affecting automated testing, demonstrating depth in diagnosing and mitigating model-specific failures within a large-scale machine learning codebase.