Machine Learning Engineer, Data Center Group/Artificial Intelligence Products Group
Vamsi Sripathi is a Senior Software Engineer at Intel. He has a Masters' degree in Computer Science from North Carolina State University. During his tenure at Intel, he worked on the performance optimization of Basic Linear Algebra Subroutines (BLAS) in Intel Math Kernel Library (MKL) spanning multiple generations of Intel Xeon and Intel Xeon Phi architectures. Recently, he has been working on the optimization of deep learning algorithms and contributed to Caffe and TensorFlow frameworks.