Vidit Kothari is a data science professional with nine years of experience applying AI and engineering to financial and consumer products, currently driving analytics at SMBC Group using Apache Spark and Azure Databricks. He combines a strong academic background—MS in Computer Science with an AI focus from RIT and research in sensor fusion for autonomous driving—with hands-on delivery of production ML systems, including ATM cash prediction, digital onboarding, and generative recommender engines. At consumer startup Forever Beauty he led AI-driven product design, restructured databases for 50% performance gains, and filed a provisional US patent for the app’s design. Vidit’s work spans the full ML lifecycle from model development (CNNs, ResNet, RNNs) to cloud deployment on Azure and AWS, and he has repeatedly improved operational metrics such as retention and cost reduction. Based in the New York City area, he is passionate about integrating autonomous-systems thinking into scalable financial AI solutions.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.9/4.00, Master of Science - MS, Computer Science, 3.9/4.00 at Rochester Institute of Technology
Bachelor of Technology, Computer Science, 72%, Bachelor of Technology, Computer Science, 72% at SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering
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