Summary
Parminder Bhatia is a Chief AI Officer and machine intelligence leader with nine years of hands-on experience building deep learning and NLP systems for healthcare and developer tools. After leading large applied-science teams at Amazon to deliver products like CodeWhisperer, Bedrock research, and Comprehend Medical, he now directs GE HealthCare’s cross-company AI strategy, focusing on foundational and generative models for medical device development and operations. His work uniquely blends production ML at cloud scale with clinical-domain NLP, driving measurable improvements in patient outcomes and operational efficiency. Recognized as a top-10 CAIO in 2023, he combines academic rigor from Georgia Tech with practical engineering roots at startups and enterprise teams. Comfortable both managing 25+ scientist organizations and shipping model-driven products, he excels at translating cutting-edge research into regulated healthcare solutions. Based in Seattle, he pairs a research-first mindset with product pragmatism to accelerate AI adoption in clinical contexts.
9 years of coding experience
9 years of employment as a software developer
Master Computational Science & Engineering, Machine Learning, 4.0 GPA, Master Computational Science & Engineering, Machine Learning, 4.0 GPA at Georgia Institute of Technology
Ropar B.Tech, Computer Science and Engineering, Ropar B.Tech, Computer Science and Engineering at Indian Institute of Technology, Ropar