Vyoma Gajjar is responsible for architecting and deploying Generative AI solutions that streamline operations, enhance decision-making, and drive innovation across various industries. Since joining IBM in 2016, she has led key initiatives in AI governance, anomaly detection, and workflow automation—helping clients realize significant efficiency gains and cost savings. During her graduate studies at the University of Maryland, Vyoma served as a Technical Data Analyst for NASA and NOAA, analyzing satellite data and simplifying complex meteorological algorithms. Early in her career, she refined her software development skills at Samsung Research Labs, resolving critical product issues and mentoring junior engineers.
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Vyoma holds a Master of Science in Information Systems from the Robert H. Smith School of Business at the University of Maryland, College Park, and a Bachelor of Technology in Computer Engineering from Nirma University in India. She contributes actively to AI research, with publications and patents on AI governance and advanced machine learning methodologies. Based in the Bay Area, Vyoma remains dedicated to mentoring emerging professionals and fostering ethical, forward-thinking AI solutions.