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Mr. Shravan S Rai

Mr. Shravan S Rai

Achiever's Success Story

A pioneer in telepresence robot navigation, specializing in obstacle avoidance and autonomous motion of robots in hospital environments: Mr. Shravan S Rai shares his journey of success

Mr. Shravan S Rai’s expertise in AI, robotics, and healthcare technology drives innovation in telehealth, patient safety, and autonomous systems. As a key contributor to AI-driven virtual care and telepresence robotics, a peer reviewer for top conferences, and a patent-holding innovator, he is shaping the future of intelligent healthcare solutions. “The best way to predict the future is to invent it.” — Alan Kay.

He is a distinguished innovator in Artificial Intelligence and Robotics for Telehealth, currently a Software Engineer 3 at Teladoc Health. With a strong academic foundation and a track record of impactful contributions, he is dedicated to solving critical challenges in the healthcare industry through cutting-edge technology.

At Teladoc Health, he plays a pivotal role in addressing staffing shortages in healthcare by leveraging AI-powered solutions. A key contributor to one of the company’s most anticipated and revenue-generating projects, the AI-assisted Virtual Patient Observation System, he has been instrumental in developing AI-driven patient fall prevention alerting systems.

Additionally, he is a pioneer in telepresence robot navigation, specializing in obstacle avoidance and autonomous motion of robots in hospital environments. His expertise in AI-driven robotics is shaping the future of remote patient monitoring and healthcare automation. As an innovator in AI, he has conceptualized multiple groundbreaking technologies, including a chat-based AI nutrition assistant. Their contributions to telehealth and AI innovation have led to a patent filing for “Telehealth System and Method for Automatic Detection of Patient Availability Status”, further solidifying their influence in the field.

Academically, he is pursuing a Professional Master’s degree in Web Development, with a Founder’s Scholarship for Computer Science Scholars, having previously completed a Master’s in Robotics and AI from Arizona State University and a near-perfect GPA. His undergraduate degree in Electronics and Communication Engineering was earned with a stellar 9.47/10.00 GPA, recognized by the Ministry of Human Resource Development Scholarship (Gov. of India).

Beyond industry contributions, he is deeply involved in the academic and research community. He serves as a peer reviewer for leading international conferences and journals, including IEEE HRI 2024, BMVC 2024, RSS 2024, and IJCNN 2025. His expertise is also recognized at prestigious competitions—he is a Judge at the American Telemedicine Association (ATA) Nexus ‘24 Innovators Challenge and serves on the advisory board and judging panel for the IEEE Standards Association Telehealth Pitch Competition 2025.

His work has been published in Robotics and Automation Magazine, and he achieved a podium finish at the ICRA 2023 BARN Challenge, showcasing his excellence in robotics and AI-driven navigation. Through a unique combination of technical expertise, research excellence, and industry impact, he continues to push the boundaries of AI and Robotics in healthcare, driving innovation that enhances patient care and medical efficiency.

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