Medi-AI is staffed by professionals with medical, data science, IT, and business experience and qualifications. We keep ourselves adept and in-tune with latest AI developments and advances.
Sandeep is a certified health informatician and translational medicine specialist with medical and management qualifications. In addition to his medical training and extensive experience with healthcare management projects, he has undertaken machine learning training through several sources. He is experienced in the design and development of artificial intelligence (AI) models to diagnose and treat medical conditions. He is also advising several organizations about the use of AI technology to address healthcare issues. Further, Sandeep has authored several AI and digital health related publications.
Nataraj is an experienced Management Consultant and Technology Professional with 25 years of experience with high-value transformation projects for global clients. He has worked with leading consulting and technology firms such as Accenture, KPMG, IBM, HP and NCS. Nataraj provides advisory services on Artificial Intelligence to various clients and start-ups globally. Nataraj has a Master of Technology degree in Knowledge Engineering from the National University of Singapore.
Ravi is a software professional with over 20 years of experience. He has an M.S in Engineering from George Mason University, USA. His career has spanned across multiple disciplines ranging from Satellite Communications, Mobile Networking, Security, Web Development, Web Services, System Administration, Search Engineering and Supervised/Unsupervised learning. He specializes in Natural Language Processing, Search technologies and algorithm development and is passionate about disruptive technologies in the fields of Machine Learning, Artificial Intelligence and High-Performance Computing.
Chaitanya is an American Board of Internal Medicine certified endocrinologist and internist with strong passion in leveraging healthcare technology for improving clinical outcomes. He is currently engaged in several artificial intelligence-based research projects and his team’s research project “Machine learning model to screen Type 2 Diabetes” was awarded the 3rd place prize at the American Association of Clinical Endocrinologists national meeting.
He has published his influential research in top peer-reviewed journals and has authored multiple text book chapters. In addition, he serves as an editorial board member and as a peer reviewer for several reputed medical journals and was a mentor at the MIT Med-hackathon. Chaitanya has a unique blend of clinical expertise, skills in clinical research and health care technology, which he brings to Medi-AI.
Paul brings a unique blend of insights from his experience in biomedical research, IT, business consulting and digital marketing. Paul obtained a PhD at the Walter and Eliza Hall Institute of Medical Research (University of Melbourne), and subsequently a Grad. Dip. Business (Organisational Development) at RMIT University. He is a Fellow of the Australasian College of Health Informaticians (FACHI) and has higher qualifications in health informatics (CHIA). He contributes extensively to online forums on topics ranging from digital health, well-being and AI ethics. He is an accomplished leader, presenter and facilitator and has been widely engaged by clients for executive and board-level consultancy. His engagements at board level have included workshop facilitation, risk and root cause analysis, digital marketing and digital innovation strategy formulation, program and project health checks.
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