László Varga received his MSc degree in Business Informatics from the Budapest University of Technology
and Economics (BME) in 2026. Alongside his studies, he worked as a Research Assistant at Ericsson and
BME on QoS/QoE estimation for encrypted network traffic, and has since been an AI/ML Engineer at
Monodon Solutions, building production-grade machine learning systems in cloud environments. He is
currently a Ph.D. student at the BME Doctoral School of Electrical Engineering and a member of the
Multimedia Networks and Services Laboratory (MEDIANETS). His doctoral research focuses on Intelligent
Survivable Communication Networks, with his current work centered on real-time Function-as-a-Service
(FaaS) and real-time Kubernetes.