Suyash Ugare

Staff Engineer

Suyash Ugare is an experienced engineer specializing in neural networks, machine learning, and computer vision, with a strong background in algorithm development and optimization. Holding a Bachelor of Engineering in Electronics and Communications from Visvesvaraya Technological University, Suyash has worked at notable companies including Cadence Design Systems, where roles ranged from Lead Design Engineer to Senior Design Engineer, focusing on the development of Computer Vision Libraries and neural network compilers. Suyash's expertise extends to video compression algorithms from an earlier position as a Software Engineer at PathPartner Technology Consulting Pvt. Ltd. and continues as a ML Compiler Engineer at Qualcomm, currently serving as a Staff Engineer.

Location

Raleigh, United States

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