Over-the-Shoulder Tutorial: Optimize, Deploy and Scale Edge AI and Video Analytics Applications

Ryan previously provided JVM focused consulting and project development as a software engineer atOCI on the Grails and Micronaut team. He and was Chief Architect/Director of Products at ReachForcewith a focus on software and system architecture for AWS Cloud SaaS solutions for marketing data management. Ryan has built several SaaS solutions in several domains such as financial, media, telecom, and e-learning companies since 1996.

Eddie Weill is a Data Scientist in the Solution Architecture team at NVIDIA focusing on machine-learning and deep-learning workloads, specifically related to edge and embedded deployments as well as enabling customers to effectively use NVIDIA’s embedded/edge hardware solutions. While at NVIDIA, he has worked in numerous areas including inference optimization and video analytics. Prior to joining the Solution Architecture team, he worked with the Intelligent Video Analytics team developing deep learning models for smart city applications. Before NVIDIA, he completed his Ph.D. at ClemsonUniversity with a focus on deep learning at the edge with GPUs.