Summary
Karl Gylleus is a Senior Software Engineer with a decade of experience building cloud-native, containerized systems and production ML platforms across companies like NAVER and Ericsson. He blends hands-on expertise in Go, Python and Rust with practical MLOps—designing Kubernetes-based ML serving, data pipelines and low-latency multi-LLM gateways. Comfortable across the full lifecycle from concept to deployment, he also experiments with Unity and Godot game engines and applies TensorFlow/PyTorch in production settings. Based in Seoul with a KTH Computer Science master’s and exchange studies at KAIST, he’s an eager learner who consistently adopts cutting-edge open-source tools to solve performance and scaling challenges.
9 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at KTH Royal Institute of Technology
Exchange studies, Computer Science, Exchange studies, Computer Science at Korea Advanced Institute of Science and Technology
Swedish, English, Korean