Venkat Palampally is a skilled software engineer with diverse experience across leading technology organizations. Notable roles include a graduate teaching assistantship at The University of Texas at Austin, where Venkat managed a large introductory astronomy class and achieved a high student rating. At Intel Corporation, Venkat developed APIs in Go and Python for the Saffron AI product, successfully delivered AI projects, and automated deployment processes on cloud platforms during an internship. Subsequently, Venkat contributed to software engineering at Uber and Google. Venkat also gained analytical experience working with oil and natural gas datasets at the Bureau of Economic Geology. Academic qualifications include a Master’s Degree in Operations Research from The University of Texas at Austin, a Bachelor’s Degree in Production and Industrial Engineering from the Indian Institute of Technology, Delhi, and certifications in big data analytics and self-driving car technology.
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