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Ravi Shankar Kannan is a Senior AI/ML engineer at Fidelity Investments, building on a robust background in machine learning and robotics. Kannan's previous roles include Machine Learning Engineer at Deep Sentinel and Applied Machine Learning Engineer focusing on computer vision at Lily AI, where contributions included enhancing model performance through semi-supervised learning and zero-shot learning techniques. Experience also encompasses a Machine Learning Engineer position at mi|im, where scalable AI technology was developed to aid in life-saving applications. Earlier positions include research and teaching roles at the University of Utah, alongside software engineering at Tata Consultancy Services, where Kannan developed a banking application for the World Bank Group. Kannan holds a Master’s Degree in Robotics from the University of Utah and a Bachelor’s Degree in Mechatronics, Robotics, and Automation Engineering from Shanmugha Arts, Science, Technology and Research Academy.