Srimanth Tenneti is an experienced engineer specializing in electrical and electronics engineering, with a Master's degree in the field from the University of Cincinnati. With internship experience ranging from RTL design and physical design engineering at notable companies such as Maven Silicon, Apple, and NVIDIA, Srimanth has developed expertise in various areas including programming architectures for FeFETs, machine learning-based STA flow enhancements, and deep learning model optimization. Previous roles include research and development of computational hardware, custom IC design, and performance analysis for vision accelerator platforms. Academic achievements reflect a solid foundation in engineering principles, underpinned by strong performance in both undergraduate and graduate studies.
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