Contributed to the aws-samples/amazon-nova-samples repository by developing two advanced features focused on financial analysis and prompt engineering. Built a Jupyter Notebook demonstration leveraging Python and AWS Bedrock to analyze multi-year financial documents using Amazon Nova Premier’s long context capabilities, enabling trend and segment growth analysis across extensive datasets. Later, delivered the Amazon Nova Meta Prompter, a Python API and interactive notebook that transforms and optimizes prompts for alignment with Nova guidelines, incorporating chain-of-thought reasoning and output control. Emphasized reproducibility and iterative improvement in prompt workflows, applying skills in API development, LLM integration, and prompt engineering throughout both projects.
Concise monthly summary focused on the Amazon Nova Meta Prompter feature delivered in October 2025, including business value and technical achievements.
Concise monthly summary focused on the Amazon Nova Meta Prompter feature delivered in October 2025, including business value and technical achievements.
April 2025 monthly summary for aws-samples/amazon-nova-samples: Delivered a comprehensive Nova Premier Financial Analysis Notebook Demonstration that showcases end-to-end financial document analysis using Nova Premier with a long context window (up to 1 million tokens). The notebook demonstrates downloading multi-year financial documents, stacking them as part of a single prompt, and requesting trend and segment growth analysis, with examples of using the Converse API for targeted questions.
April 2025 monthly summary for aws-samples/amazon-nova-samples: Delivered a comprehensive Nova Premier Financial Analysis Notebook Demonstration that showcases end-to-end financial document analysis using Nova Premier with a long context window (up to 1 million tokens). The notebook demonstrates downloading multi-year financial documents, stacking them as part of a single prompt, and requesting trend and segment growth analysis, with examples of using the Converse API for targeted questions.
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