Saurabh Deshmukh

Saurabh Deshmukh is a Staff Engineer in Machine Learning Software at Lattice Semiconductor, where responsibilities include training Convolutional Neural Network models on Caffe and TensorFlow, and customizing various deep learning architectures with quantization techniques to optimize model size. Previous experience includes an internship focused on integrating security standards in FPGA programming, as well as research on power-efficient load balancing using deep learning at San Jose State University. Saurabh also served as an Instructional Student Assistant for an embedded systems course and worked as a Programmer Analyst at Cognizant in the .NET domain. An academic background includes a Master of Science in Computer Engineering from San José State University and an Engineer’s Degree in Electrical, Electronics, and Communications Engineering from Vishwakarma Institute Of Technology.