Prashant Sharma is a healthcare technology and data analytics professional with over 19 years of experience in healthcare data management, artificial intelligence (AI), machine learning, and healthcare information systems. He currently serves as a Solution Architect at Optum (UnitedHealth Group), contributing to large-scale healthcare analytics, data quality, and information management initiatives.

His areas of expertise include healthcare analytics, Medicaid and Medicare data systems, clinical informatics, predictive modelling, machine learning, natural language processing, healthcare data interoperability, and evidence-based decision support. He has extensive experience developing AI-driven analytical frameworks, improving healthcare data quality, and transforming complex healthcare datasets into actionable insights.

Prashant is an IEEE Senior Member and an active reviewer for the IEEE Bio-Inspired Computing Technical Community. He has also served as a conference reviewer and judge for ASSIC and ICEC, and as a judge for the Globee Awards in Technology, Healthcare, and Artificial Intelligence.

He holds a Bachelor of Engineering degree in Computer Science and Engineering from Rajasthan University and has completed professional certifications in AI in Healthcare from Stanford and Data Science from IBM.

His professional interests include artificial intelligence in healthcare, digital health transformation, healthcare informatics, predictive analytics, clinical data management, and technology-driven healthcare improvement. He is interested in supporting interdisciplinary research and contributing to scholarly peer-review and editorial activities within his areas of expertise.