Developed a Jupyter notebook for the aws-samples/amazon-bedrock-samples repository, enabling seamless import and serverless inference of a fine-tuned Qwen3 model into Amazon Bedrock using the Custom Model Import (CMI) workflow. The work focused on building an end-to-end process that covers environment setup, artifact download from HuggingFace, and inference steps, all documented within the notebook to support reproducibility. Leveraging Python, AWS, and data science best practices, the solution established a reusable pattern for future model imports, streamlining experimentation and deployment. No major bugs were addressed during this period, as the primary emphasis was on feature delivery and comprehensive documentation.