Digital healthcare platform Practo has appointed Cijo George as Vice President of Artificial Intelligence. In his new role, George will work closely with the company’s product, engineering, and clinical teams to advance its AI-driven healthcare initiatives. He will report to Shashank ND, Co-Founder and CEO at Practo.
George brings nearly two decades of experience spanning machine learning, AI platforms, and product-led engineering. Prior to joining Practo, he held senior leadership positions at Observe.AI. Over the course of his career, he has led the development of large-scale AI systems across enterprise and consumer platforms.
Announcing the appointment, Shashank ND, Co-Founder and CEO, Practo, said, “For the last 17 years, we have been building deep healthcare intelligence across patients, doctors, clinics, and outcomes. AI unlocks the full potential of this data, helping patients get better outcomes and enabling doctors with insights that can genuinely improve care delivery. Cijo brings exceptional depth in building real-world AI platforms, and his belief in using AI to drive meaningful impact strongly resonates with our purpose. We’re excited to have him on board and look forward to building the next phase of Practo’s AI journey together.”
Speaking about his new role, Cijo George said, “What drew me to Practo is the opportunity to apply AI in ways that can directly improve how patients experience care and how doctors deliver it. Practo operates at unmatched scale and has built deep, longitudinal healthcare data across patients, providers, and outcomes over many years. Combined with its position as a neutral platform across the ecosystem, this creates a powerful foundation to build AI systems that can meaningfully improve health outcomes at scale, and I’m excited to contribute to that journey.”
Earlier in his career, George led Platform and AI at Belong.co, where he focused on search and personalisation in the HR technology domain. He was also part of the Advanced Technology Group (CTO Office) at NetApp, working on machine learning and data science approaches for large-scale distributed systems.