Sharon H.

Sharon H. is an accomplished Algorithms Architect and software developer with extensive experience spanning multiple companies and key roles in algorithm optimization and development. Notable positions include Perception Algorithms Architect at General Motors, where responsibilities included perception algorithms flow and DNN optimization, and Algorithms Architect in the CTO Office at YOOM, focusing on volumetric human modeling and motion capture systems. Sharon's prior roles include Senior Algorithms Developer at Paradigm Geophysical, leading image processing for geophysical data, and various positions at Intel Corporation, focusing on 2D classification and 3D reconstruction algorithms. Sharon holds an M.Sc. in Computer Vision and Image Processing from Hebrew University and a B.Sc. in Applied Math & Computer Sciences from the University of Haifa. Key skills encompass Python, CUDA, TensorRT, and various deep learning technologies.