Soham Chatterjee is a Machine Learning Lead at Sleek since December 2020, previously serving as a Machine Learning Engineer. With a strong background in education, Soham worked as a Course Instructor for the Udacity Nanodegree, Intel Edge AI for IoT Developers, and developed a course on Optimization Tools and Techniques. Prior experience includes consulting for Saama, contributing to the development of a Virtual Assistant Product and conducting research on Neural Networks for Quantum Computers, as well as publishing a significant paper on CNNs. Soham's research experience extends to various internships, including work at Texas Instruments and the Indian Statistical Institute, focusing on advanced technologies like Wireless Power Transfer and Swarm Intelligence Algorithms. Educational qualifications include a Master of Engineering from Nanyang Technological University and a B.Tech from SRM University.
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