Dr. Sunil K. Singh is a technologist with a distinguished career and hands-on experience in conceptualizing, designing, building, and launching innovative technology products and services.

Prior to joining GlobalLogic, Sunil was the Managing Partner at Citadel Ventures, a venture investment arm and technology firm that incubated hi-tech startups in areas of big data analytics, AI, supply chain, and food delivery. Previously, he has held multiple executive roles in technology organizations. As the President and CTO of Greenfence, he worked with the world’s top retailers, food manufacturers, and certification bodies to create a technology platform for supply chain transparency to source with compliance verification automation. He also previously served as Globallogic’s APAC Head and MD of India. As CEO and CTO of Informance, he defined a new category of operational analytics SaaS platform for Manufacturing Intelligence, and led the company to a successful exit in a PE transaction. Other innovative products he’s helped launch include an adaptive learning platform for lesson delivery over connected tablets, UCCNet (the demand-supply synchronization platform for CPG companies), and robotic medical devices.

Sunil received his Ph.D. from Cornell University and his B.Tech. from IIT Kanpur. He has held faculty appointments at universities such as Dartmouth and Rensselaer Polytechnic Institute (RPI), and he holds patents in virtual reality and robotic surgical devices.

Alex is a data scientist who has made significant contributions to the engineering of deep learning. Alex introduced model parallelism to support training and inference on large language models forHugging Face’s transformers library. He has made contributions to reinforcement learning as a Principal Investigator on a National Science Foundation grant. Alex is an inventor on pending patents in generative AI and a reinforcement learning. Alex's area of expertise is deep learning, natural language processing and large language models. He is well versed with the implementation of systems that use large language models.

With a strong product background, Alex brings many years of experience implementing AI projects in a range of organizations. He has worked on projects in both large organizations such as Dassault Systèmes and as well as startups such as Keys AI, Ocean Motion and Rehinged.ai.

He holds advanced degrees from Cambridge University and the University of California, San Diego. Alex received his bachelor degree from Georgetown University. Alex is a former US Fulbright scholar.

Kevin Grogan, Ph.D., is a highly skilled machine learning engineer with an extensive educational background and a wealth of experience in both academia and industry. He holds a Doctorate and a Master's degree in Engineering from Stanford University, where he was in the Flow Physics and Computation Engineering Group. Over the years, Kevin has demonstrated expertise in numerous technical areas like deep learning, computer vision, optimization, complex data systems, and scientific computing, enabling him to build cutting-edge AI-powered software products.

Throughout his career, Kevin has held various relevant positions at reputable organizations such as Uber and Dassault Systèmes. He has built numerous deep-learning pipelines, created internet-scale batch optimization software, and developed causal machine learning applications. As an Adjunct Professor at the University of San Diego, Kevin has also imparted his knowledge and skills in computer science and machine learning to aspiring professionals. Kevin has written numerous technical publications in prestigious journals on topics ranging from physics-based simulation to applied machine learning. With his breadth of skills and comprehensive understanding of complex AI technologies, Kevin is excited to push forward generative AI solutions for businesses.