Worked on the intel/neural-compressor repository to enhance FP8 accuracy testing and streamline deployment processes. Expanded the FP8 testing dataset by incorporating additional models and updating evaluation metrics, which improved coverage and reliability of results. Upgraded the Docker image to version 1.20.0 and updated the PyTorch installer to 2.6.0, ensuring compatibility with the latest runtime environments and supporting reproducible deployments. Focused on technical writing and documentation by revising Markdown files to reflect all changes in test data and containerization. This work resulted in faster validation cycles and smoother production rollouts, demonstrating attention to detail and process alignment within the project.