During October 2025, Darek Kleczek developed an AI-powered topic discovery feature for the Snowflake-Labs sf-samples repository. He designed and implemented a Streamlit application that leverages Snowflake Cortex AISQL to analyze text data, enabling users to discover topics, classify text, and perform outlier analysis on sample datasets such as vortrex_reviews.csv. The solution integrates data analysis, topic modeling, and interactive data visualization, providing a ready-to-demo workflow for stakeholders. Darek also authored comprehensive documentation in Markdown, detailing technical components and business value. His work demonstrated end-to-end data exploration capabilities using Python, Streamlit, and Snowflake, with a focus on usability.