Prithvi Singh Chauhan

Prithvi Singh Chauhan is a machine learning engineer at Geminus AI, where he develops advanced AI-driven solutions for complex challenges across the energy industry. His work focuses on the integration of physics-informed modeling and data-driven methods to build scalable systems that optimize industrial operations, improve reliability, and enhance decision-making across energy infrastructure. Chauhan holds a bachelor’s degree from the Indian Institute of Technology and a master’s degree from Texas A&M University. He has authored over 15 publications and holds four patents. Chauhan is program chair for the SPE International Data Science and Engineering Analytics Technical Section and former chair of the Data Analytics Group at the SPE Gulf Coast Section. In these roles, he has led global initiatives to advance the adoption of AI and digital technologies across the energy sector, while fostering collaboration between academia and industry through conferences, mentorship, and research programs. Chauhan was named 2026 Young Engineer of the Year at Houston Energy Week.