Gamini Singh
Gamini is a data scientist and AI/ML team lead at Red Hat, Inc. with 7+ years of experience of leading high-visibility advanced analytics projects. Her expertise includes machine learning, statistical forecasting, and building AI-powered automation tools, with a strong focus on practical deployment in business environments. She is a graduate of MS in Business Analytics from Duke University and is currently on track to graduate from MS in Computer Science from Georgia Institute of Technology.
Session
Writing SQL slows everyone down. Non-technical users can’t, data teams won’t, and leadership waits. While commercial AI-powered tools promise a solution, most are pricey, opaque, and allergic to your reporting requirements. This Ignite talk presents an open-source Text-to-SQL chatbot that prioritizes transparency and user control. It combines advanced prompt engineering & guardrails to reduce hallucinations and ensure generation of reliable SQL queries. It uses an evaluation framework to assess performance by checking syntax accuracy, schema awareness and robustness to ambiguous user inputs. You’ll walk away knowing what works, what breaks, and why building your own AI assistant might just be your smartest move. Query load is not a career path. Offload it to the bot.