Shashwat Kumar

Background

About Shashwat Kumar

Highly skilled and innovative professional with a Ph.D. in Computer Science and Engineering, specializing in optimizing video services for wireless networks. My extensive research and industry experience have equipped me with a deep understanding of video delivery challenges in mobile environments and a strong expertise in deep reinforcement learning. Currently, I am contributing my expertise as a Software Engineer at Rakuten Mobile Inc, where I specialize in high-performance voice stack development using GoLang. My primary focus is on developing cloud-native services that cater to the demands of modern communication technology. At Rakuten, I have gained valuable experience in utilizing GoLang to build scalable and efficient solutions. Additionally, I have a growing interest in SIP tools, particularly Kamailio and FreeSWITCH, and their role in enhancing communication systems. While I'm still in the process of deepening my knowledge in these areas, I am enthusiastic about leveraging these tools to contribute to the development of reliable and efficient communication solutions at Rakuten. During my Ph.D, I conducted research in optimizing video services for wireless networks. I focused on developing innovative approaches to mitigate bandwidth limitations, reduce latency, and improve overall video streaming quality. I designed novel algorithms and protocols that significantly enhanced the end-user experience, enabling seamless video playback even in resource-constrained wireless environments. My expertise extends beyond video optimization, I have a strong background in deep reinforcement learning, which I utilized during my Ph.D. to develop intelligent algorithms for adaptive video streaming and network resource management. In addition to my work experience, I possess a comprehensive skill set in programming languages such as GoLang, Python, C++, and Matlab, and I have hands-on experience with tools and libraries commonly used in deep reinforcement learning, such as TensorFlow and PyTorch. I am adept at designing and implementing neural network architectures, training models, and fine-tuning algorithms to achieve optimal results. Throughout my career, I have demonstrated the ability to translate complex technical concepts into practical solutions. I thrive in collaborative environments, working closely with cross-functional teams to bridge the gap between research and implementation. My track record of successfully delivering projects that have a tangible impact on the user experience showcases my dedication to driving technological advancements.