Pavan Mandhani

Summary

Pavan Mandhani is a prominent Silicon Valley entrepreneur and investor specializing in technology and global business development. A results-driven leader, he has a strong track record in sales, international business, and artificial intelligence, successfully spearheading growth initiatives and establishing high-value partnerships. As a Partner at funds including Venture Catalysts USA and Elysium Ventures, Pavan leverages his industry knowledge to drive investments in innovative sectors. As a member of the Mandhani Family Office, he oversaw strategic investments in media, entertainment, solar, mining, and technology, with notable contributions to Bollywood films like 83 and Thalaivii, as well as events like SIIMA and CCL. Mandhani family office also partners with SHE Capital to support companies led by female founders. A serial entrepreneur, Pavan is the Founder, Chairman, and CEO of Mobifusion, a leader in mobile applications with hundreds of millions of downloads and partnerships with Microsoft and Samsung. He previously served as CTO of Global Center, acquired by Exodus, and President of Unovon, a VoIP provider. His entrepreneurial journey includes co-founding MobileWebSurf, revolutionizing mobile internet delivery, and playing key roles in Polarlens and IEM, contributing to significant defense projects. Pavan holds impressive academic credentials, including: -- Doctoral Work in Engineering Science, Louisiana State University -- Master’s in Computer Science, Louisiana State University -- M.S. in Industrial and Manufacturing Systems Engineering, LSU -- B.S. in Mechanical Engineering Selected Publications and Research Contributions • Expert Systems and AI in Environmental Management: Developed SWIMS, an online information retrieval system for waste management, leveraging AI for data-driven decision-making. • Artificial Intelligence Approach for Waste Minimization: Proposals for integrating AI in DoD manufacturing processes and environmental projects, showcasing the application of knowledge-based systems for efficiency. • Research on Dynamic Job Scheduling: Investigated knowledge-based systems for optimizing scheduling in manufacturing, contributing to advancements in AI applications in industry. • AI based Predictive Modeling: Developed AI systems to measure and predict the success of ventures in manufacturing industry. • Autonomous Robots: Developed Autonomous Robot Manipulators using AI in dangerous and hazardous environment.