Steven Eliuk is a graduate of the University of Alberta Computing Science department, where he completed his Ph.D. in distributed algorithms in applied sciences. He was awarded numerous awards from the Natural Science and Engineering Council of Canada, Alberta Ingenuity fund, University of Alberta, and more. Previous experience includes IBM, where he was director at the Servier Virtual Cardiac Center, which focused on reducing radiation and enhancing CT scans in pediatrics. He currently leads a distributed algorithms group at Samsung Electronics, where they have focused on primitive acceleration for machine learning since 2013. The team has produced the most performant version of distributed Caffe while considering numerical stability and providing strict mathematic when possible, all while providing better accuracy and no loss of precision when scaling from one to 128 GPUs.