Software Engineer
George Youmans is an Software Engineer with more than 18 years of experience in Computing. George has a wide range of experience, having worked in companies in Europe and the United States. He is an experienced professional with deep knowledge of Information Technology and Communication, having utilized his expertise to automate with Software and Artificial Intelligence.
His expertise ranges from Computer Object Oriented Programming and Infrastructure Engineering to Artificial Intelligence. George has a long career of working in technology, and his experience and skills have been instrumental in helping companies and organizations adapt to the digital world.
George Youmans is a global traveler who has been exposed to a variety of cultures throughout his career. He is a passionate learner, always looking for new and innovative ways to explore the world around him. George values the importance of building connections and understanding different perspectives. His experiences have made him a keen observer of the world and provided him with unique insight into human behavior.
George Youmans is a student of success. He believes that knowledge is power, and he has an insatiable appetite for learning. George is always looking for new ways to grow, and his ultimate goal is to become the best version of himself.
Latest Blog
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The Unsupervised Machine Learning Role in Network Automation
Contemporary communication networks – from cloud data centers to 5G and IoT – are vastly complex, heterogenous, and dynamic. Manual tuning of such networks becomes impractical. Autonomous networks (alternatively referred to as cognitive networks) are envisioned based on AI-based automation: systems that self-configure, self-heal, and self-optimize in real time. Here, machine learning (ML) is a…
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Generative AI and Network Digital Twins: A Technical Overview
Generative AI is a type of machine-learning model that learns from data to create new, realistic content. Such models – generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based large language/image models – are capable of producing high-quality data (text, images, network traffic, etc.) similar to their training set. In reality, generative AI systems learn…
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An AI-Driven O&M Framework for Telecom Networks
Contemporary telecommunication networks (TNs) are large, heterogeneous infrastructures (5G, fiber, cloud RAN, IoT, etc.) whose operation and maintenance (O&M) require intelligence and automation. TelOps is a telecom-focused AIOps framework that leverages AI/ML for TN O&M, methodically integrating network mechanism, data, and expert knowledge. In contrast to generic IT AIOps, TelOps directly tackles TN issues –…