About

Ramteja Tadishetti is an experienced Software Engineer with a strong background in Deep Learning, Networking, and Distributed Systems. He holds a Master of Science (MS) in Computer Science from the University of Massachusetts, Amherst. Currently, he works as a Member of Technical Staff II at VMware, where he is responsible for enhancing the security features of Virtual Private Network (VPN) clients for different operating systems, developing a web framework to generate web portals based on user configuration, and securing the web-server against web-attacks. Prior to his current role, Ramteja worked as a Software Engineer at NVIDIA, where he developed platform tools for NVIDIA GPU cloud for running highly scalable and low latency workloads of Deep Learning and GEFORCE (real-time game streaming service). He also worked on performance tuning of SDN (Software Defined Networking) controller to make it scalable for 5k+ instances. Additionally, he worked as a Research and Development Intern at Cisco, where he optimized the static packet scheduler of dRMT architecture and scheduled mutually exclusive paths simultaneously to optimize the total number of processors. Ramteja's technical skills include Software Engineering, Deep Learning, and Research Science. He has 5.69 years of relevant experience in the software industry. He is a strong engineering professional with a track record of delivering high-quality work.