
Contributed to the nusduck/qf5214_StockAgent repository by building core data infrastructure and UI scaffolding for a stock news and recommendation platform. Developed a scalable stock news data model and storage schema using Python and SQL, integrating akshare for robust data retrieval and Langchain for enhanced API responses. Established end-to-end data flow from fetching to storage, supporting downstream analytics. Enhanced maintainability through codebase cleanup, schema alignment, and comprehensive documentation. Scaffolded the recommendation page UI in TypeScript, laying the groundwork for future UX improvements. Focused on metadata governance, cache configuration, and reusable scripting, enabling rapid iteration and reliable feature delivery across the stack.
Month: 2025-04. This period focused on establishing the foundation for the StockAgent recommendation flow, with UI scaffolding, metadata governance, and maintainability improvements to enable rapid, high-quality feature delivery. Delivered structured groundwork for future UI/UX work and a reusable guidance baseline for the recommendation pipeline while maintaining code quality and documentation.
Month: 2025-04. This period focused on establishing the foundation for the StockAgent recommendation flow, with UI scaffolding, metadata governance, and maintainability improvements to enable rapid, high-quality feature delivery. Delivered structured groundwork for future UI/UX work and a reusable guidance baseline for the recommendation pipeline while maintaining code quality and documentation.
February 2025 delivered key enhancements to the StockAgent pipeline, focusing on reliable data storage, robust data retrieval, and maintainable code. Implemented a scalable stock news data model and storage schema, established demo_stock_news_table, defined comprehensive company and news schemas, and cleaned up deprecated tables with naming-convention alignment. Enhanced the retrieval and processing API with akshare integration, added input validation, and integrated Langchain to return data along with total character count. Also completed housekeeping to reduce technical debt by renaming files and removing obsolete artifacts, paving the way for smoother onboarding and future iterations.
February 2025 delivered key enhancements to the StockAgent pipeline, focusing on reliable data storage, robust data retrieval, and maintainable code. Implemented a scalable stock news data model and storage schema, established demo_stock_news_table, defined comprehensive company and news schemas, and cleaned up deprecated tables with naming-convention alignment. Enhanced the retrieval and processing API with akshare integration, added input validation, and integrated Langchain to return data along with total character count. Also completed housekeeping to reduce technical debt by renaming files and removing obsolete artifacts, paving the way for smoother onboarding and future iterations.

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