Lipsa Senapati

About Lipsa Senapati

Lipsa Senapati is an AI and data engineering professional specializing in building scalable, production-ready AI and machine learning systems for enterprise environments, with a particular interest in healthcare AI. Her work spans enterprise data architecture, machine learning pipelines, feature and context repositories, explainable AI, and emerging agentic AI systems. She is an IEEE Senior Member, technical author, peer reviewer, and industry contributor who actively writes and speaks about the challenges of moving AI from experimentation into reliable, governed, real-world systems. Her interests include responsible AI adoption, reusable AI infrastructure, data governance, and how organizations can build AI systems that are both scalable and trustworthy. Lipsa brings a practitioner’s perspective to conversations about the future of enterprise AI—connecting advances in AI with the data, infrastructure, governance, and engineering foundations required to make them work in practice.