Summary
Johannes Kazantzidis is a Senior Software Engineer and team lead with around a decade of experience building production-grade systems across AI/ML, control systems, and embedded automation. He currently leads an AI Platform/MLOps initiative and has a proven record of shipping tools that become internal standards—such as a media player for AI evaluation—and driving algorithmic improvements that cut runtime from 24 to 2 hours. His background spans high-stakes scientific infrastructure (Stanford LCLS, ESS accelerator target cooling) to industrial automation (Tetra Pak) and shows a rare blend of control-systems rigor and cloud-native development (Python, TypeScript, Kubernetes). He’s comfortable stepping into leadership gaps, mentoring students, and launching company-wide initiatives like “Advent of Code with Axis” that boosted employer branding engagement. Multilingual and internationally experienced, Johannes pairs hands-on hardware debugging (reconstructing legacy SRF gun control systems) with modern MLOps practices, keeping one eye on specs and the other on the imaginable and unimaginable.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MSc), Electrical and Electronics Engineering, 2:1 with distinction on master's thesis, Master of Science (MSc), Electrical and Electronics Engineering, 2:1 with distinction on master's thesis at Imperial College London
Master of Engineering (MEng), Electrical and Electronic Engineering, Average: 4.0 out of 5, Master of Engineering (MEng), Electrical and Electronic Engineering, Average: 4.0 out of 5 at The Faculty of Engineering at Lund University
Swedish, English, Spanish