Developed and delivered an AI-powered topic discovery feature for the Snowflake-Labs sf-samples repository, focusing on enabling advanced text data exploration within a Streamlit application. Leveraging Snowflake Cortex AISQL, the solution provided a user interface for topic discovery, text classification, and outlier analysis, utilizing a sample dataset in CSV format. The implementation showcased end-to-end workflows for extracting insights from unstructured data, with comprehensive documentation in Markdown to support onboarding and usage. No bugs were reported or fixed during the period, and the work emphasized data analysis, topic modeling, and seamless integration of Streamlit with Snowflake’s AISQL capabilities.