Ross Dalke

Ross Dalke is a Digital Signal Processing Software Engineer II at Applied Signal Technology since November 2022, contributing to major project software requirements and designing C++ modules for real-time embedded systems. Previously, during a Master's Thesis project at California Polytechnic State University-San Luis Obispo, Ross developed a neural network-based breast cancer diagnosis system using TensorFlow and Keras, experimenting with various architectures and data augmentation. Ross's experience includes internships at Applied Signal Technology, Wolfspeed, Sharpell Technologies Inc., and Cornerstone Engineering, focusing on software development, data quality assessment, and engineering submittals. Ross holds a Master of Science in Electrical Engineering and an undergraduate degree in the same field from California Polytechnic State University-San Luis Obispo.