
During December 2024, Deepak Hapola developed new multimodal demonstration assets for the aws-samples/amazon-bedrock-samples repository, focusing on Amazon Nova’s capabilities within Bedrock. He created image assets and a Python notebook that processes chart data to highlight multimodal analysis, as well as a Jupyter notebook featuring runnable Converse API examples for vision tasks. His work integrated Python programming, data visualization, and API integration to provide end-to-end, reproducible demos that accelerate prototyping and customer engagement. While no bugs were addressed, the depth of the deliverables provided a robust foundation for showcasing Nova’s multimodal features and supporting future development and demonstrations.

December 2024 — aws-samples/amazon-bedrock-samples: Delivered new Amazon Nova multimodal demo assets on Bedrock, including image assets, a Python notebook for chart data processing to showcase multimodal analysis, and a Jupyter notebook with runnable Converse API examples for vision capabilities. No major bugs fixed this month. Impact: accelerates prototyping and customer demos by providing end-to-end, runnable demonstrations of Nova multimodal capabilities on Bedrock. Technologies/skills: Python, Jupyter notebooks, image processing, chart data analytics, Converse APIs, Bedrock integration, and Git-based traceability.
December 2024 — aws-samples/amazon-bedrock-samples: Delivered new Amazon Nova multimodal demo assets on Bedrock, including image assets, a Python notebook for chart data processing to showcase multimodal analysis, and a Jupyter notebook with runnable Converse API examples for vision capabilities. No major bugs fixed this month. Impact: accelerates prototyping and customer demos by providing end-to-end, runnable demonstrations of Nova multimodal capabilities on Bedrock. Technologies/skills: Python, Jupyter notebooks, image processing, chart data analytics, Converse APIs, Bedrock integration, and Git-based traceability.
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