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Harsh Solanki is an experienced lead engineer with expertise in Java Spring Boot and Python, currently serving at Target since September 2021, where contributions include building scalable APIs for a machine learning platform and implementing hybrid cloud infrastructures. With a strong background in machine learning, Harsh also held a prior role at Quantiphi and worked as an educator and corporate trainer at Intellipaat and WithinCloud, offering various AWS and generative AI courses. Earlier experiences include roles as a business analyst at Amazon, NLP engineer at Thompson Reuters, and a corporate trainer at Teleperformance India, topped with a PGP in Data Science and Machine Learning from The University of Chicago Graham School.