ShortTok's highly experienced team has deep expertise in artificial intelligence (AI), machine learning (ML), computer vision (CV), video processing, natural language processing (NLP), recommender systems, data mining, software engineering and cloud capabilities.

Vikram Nagrani Founder & CEO Vikram is an entrepreneur who has founded multiple innovative businesses in software and financial services including Neonyoyo (a mobile software startup with a successful exit to Interwoven, now part of HP). Prior to founding and advising on various startups, Vikram was a Principal in the Institutional Equities Division at Morgan Stanley.

Jayan Eledath Chief Technical Officer Jayan is a technologist with over 20 years of experience in computer vision and AI. He was previously a Director of Applied Science at AWS where he led the applied science teams that built the AI for Amazon’s Just Walk Out technology. Before Amazon, he led programs at SRI International in visual media reasoning, automotive safety and driver awareness, and commercialization of computer vision technologies.

Dr. Alan Bovik Chief Technical Adviser - Video Engineering Dr. Al Bovik holds the Cockrell Family Regents Endowed Chair at The University of Texas at Austin, where he is Director of the Laboratory for Image and Video Engineering (LIVE). Among his numerous awards and recognitions, he is the winner of the 2022 Edison Medal, a Technology and Engineering Emmy Award in 2021, and a Primetime Emmy Award in 2015.

Dr. Joydeep Ghosh Chief Technical Adviser - Data Science, ML & AI Dr. Joydeep Ghosh is currently the Schlumberger Centennial Chair Professor at the University of Texas, Austin, specializing in Data Sciences and Artificial Intelligence. Among his numerous awards and recognitions, he has received the ICDM Award (2020) for lifetime research contributions to Data Mining and Machine Learning.

David Croley Vice President, Engineering David is an industry veteran with 30 years of full-stack enterprise software development experience, and particular expertise in architecting and implementing scalable SaaS (Software as a Service) products.

Charles de Granville Principal Engineer Charles is a Principal Engineer with 15+ years in AI, machine learning, and distributed systems. His pivotal work spans Amazon's Just Walk Out technology and NASA's award-winning AEGIS software for the Mars Rover. He holds a BS and an MS in Computer Science from the University of Oklahoma.

Dr. Arun Chatterjee Head of Product Dr. Chatterjee is a software architect with 20 years of focus on applied research for strategic product development, including at Motorola and Interwoven. He co-founded Neonyoyo, a mobile software company that had a successful exit to Interwoven, now part of HP.

Dr. David Weisman Senior Principal Scientist - AI Dr. Weisman is a data science expert who leverages machine learning and artificial intelligence for the technology and life sciences sectors. He has consulted to numerous firms, guiding them to realize concrete, measurable gains from AI and ML.

Jim Kennedy Strategic Adviser - Partnerships James M. (Jim) Kennedy is a media strategist and venture advisor who led strategic planning and corporate development at The Associated Press for more than 20 years where he retired as senior vice president in 2022. Jim has deep expertise in digital product development, product-market fit and helping companies grow through strategic alignment with industry partners.

Dr. Ann Kirschner Strategic Adviser - Digital Media Dr. Kirschner is a pioneer in digital media, with focus on technologies that transform content and commerce. Ann was the first digital strategist for the NFL, where she launched NFL.COM and SUPERBOWL.COM.

Steven Chen Senior Machine Learning Engineer Steven is a Senior Machine Learning Engineer with 6+ years of experience at the intersection of AI and Software Engineering building models and products for Amazon Just Walk Out and AWS. His expertise lies in bringing AI products to production at scale and optimizing model training workflows. He received a BS in Biomedical Engineering with a focus in Computational Biology from Johns Hopkins University in 2017.

Nikhil Kumar Associate Machine Learning Engineer Nikhil Kumar has a diverse background in Machine Learning, Economics, Music and Computer Science. He has experience with projects in Generative AI for Music, creating an Android app that utilizes a Convolutional Neural Networks for gesture detection and designing a Generative Adversarial Network for image authenticity assessment. He is a Master of Science student at Arizona State University in the field of Computer Science.