M Srikant has has 35+ years of comprehensive enterprise transformation and product execution experience across dynamic global markets with critical business drivers and environments.
He has a strong track-record in onsite/offshore model with diverse global development teams. His expertise extends to guiding enterprises in their digital transformation journey, focusing on strategy, analysis, planning, operations and governance across environments and ecosystems, as well as contributing to core standards and processes. Srikant has been involved in product execution: management/development/delivery of the product life cycle, architectures, design, implementation, testing and deployment for seven pioneering products, including three concept-to-launch products.
Srikant was an early AI pioneer and researcher from the mid 1980s and has created several NLP systems while collaborating with academia worldwide. He has applied machine learning and combinatorial dynamics (seminal work) to understand real-world complex systems for the intelligence community, US Army, and NSF in the 1990s. He is also a specialist in distributed systems (from high-performance computing to cloud-native platforms), and an expert in several vendors' products for network and security infrastructure. Over the past decade, he has returned to core AI through the mathematical deep learning discipline, assisting government, enterprises, and startups to implement analytics and UAV automation and digitalization.
Srikant holds a Master of Science in pure mathematics from New Mexico State University; a Master of Technology in computer engineering from the Indian Institute of Technology; and an undergraduate in electrical engineering. He was an Artificial Intelligence United Nations Fellow at Yale University and a Computer Science Graduate Research Fellow at TIFR, Bombay.