Over a three-month period, contributed to the amzn/selling-partner-api-samples repository by building and enhancing backend systems that enable AI-driven analytics for Amazon sellers and vendors. Developed a Model Context Protocol (MCP) server that translates natural language requests into GraphQL queries, allowing seamless querying of sales, traffic, and inventory data. Implemented local storage and offline document access features, improving reliability and developer productivity. Addressed codebase maintenance by removing deprecated scripts and standardizing module imports. The work leveraged TypeScript, Node.js, and GraphQL, with a focus on robust API integration, error handling, and clear documentation to support data-driven decision making.
Monthly summary for 2025-07 focusing on key outcomes and business value for amzn/selling-partner-api-samples.
Monthly summary for 2025-07 focusing on key outcomes and business value for amzn/selling-partner-api-samples.
May 2025 monthly summary for amzn/selling-partner-api-samples: Delivered offline data capabilities and cleaned up legacy code paths to improve reliability and developer productivity. Implemented local storage for request results and offline document access in Amazon Data Kiosk, including directory creation fallbacks and a read-file tool for paginating locally stored content. Fixed key maintenance/consistency issues by removing the deprecated LLM context script (flatten-project.sh) and standardizing shared utilities import paths across server packages.
May 2025 monthly summary for amzn/selling-partner-api-samples: Delivered offline data capabilities and cleaned up legacy code paths to improve reliability and developer productivity. Implemented local storage for request results and offline document access in Amazon Data Kiosk, including directory creation fallbacks and a read-file tool for paginating locally stored content. Fixed key maintenance/consistency issues by removing the deprecated LLM context script (flatten-project.sh) and standardizing shared utilities import paths across server packages.
April 2025 Monthly Summary for amzn/selling-partner-api-samples: Delivered the MCP Server for Data Kiosk: Seller and Vendor Analytics, enabling natural-language querying of sales, traffic, economics, and inventory data by bridging the AI assistants with the Data Kiosk API. Implemented a Model Context Protocol (MCP) server that translates natural language requests into GraphQL queries, supporting separate seller and vendor analytics packages. This work lays the foundation for AI-assisted analytics and faster data-driven decision making across seller and vendor teams.
April 2025 Monthly Summary for amzn/selling-partner-api-samples: Delivered the MCP Server for Data Kiosk: Seller and Vendor Analytics, enabling natural-language querying of sales, traffic, economics, and inventory data by bridging the AI assistants with the Data Kiosk API. Implemented a Model Context Protocol (MCP) server that translates natural language requests into GraphQL queries, supporting separate seller and vendor analytics packages. This work lays the foundation for AI-assisted analytics and faster data-driven decision making across seller and vendor teams.
Overview of all repositories you've contributed to across your timeline