Pranjal Nawarkar is a Business Intelligence Engineer II at Humana, a Fortune 40 healthcare organization, where she builds internal data infrastructure, pipelines, and analytics solutions that support enterprise decision-making across healthcare operations. She holds a Master of Science in Computer Science and specializes in the intersection of data engineering, large language models, and enterprise AI. Her research focuses on the reliability and governance of RAG-based systems under real compliance constraints, work that led to her accepted paper and poster at the Applied AI Research Conference at Ai4 2026. Pranjal is a speaker at Grace Hopper Celebration 2026, a two-time PyCon US Scholar, an AWS All Builders Welcome Grant recipient, and a mentor through AnitaB.org's Mentorship Program. She is passionate about making AI systems trustworthy, auditable, and accessible, and about building pathways for the next generation of technologists.