Orestis Zambounis is a machine learning tech lead with many years of experience in transforming research projects into high-performance production systems. He specializes in high-performance computing in the AI environment and has reduced inference times tenfold in practice through targeted optimization (including TensorRT). Orestis combines deep theoretical knowledge of deep learning architectures with a pragmatic engineering perspective to make ML systems not only intelligent, but also fast and cost-effective.