Summary
Marius Kühnemund is a Senior AI Engineer and researcher with a PhD in Computer Science and nine years of experience building production-grade ML systems and MLOps pipelines. He has led end-to-end AI product development as a CTO and co-founder, designing novel transformer and graph-model architectures and deploying realtime on-demand inference for complex analytics. At syte he focused on cutting cloud costs and latency by reengineering data pipelines, parallelizing workloads, and rewriting legacy Python components in Rust to achieve order-of-magnitude improvements. He also consults independently, helping organizations translate business needs into vendor-agnostic, economically sustainable ML solutions. With a research background that bridged ML, parallel computing, and organic chemistry, he brings both theoretical rigor and practical engineering discipline to interdisciplinary problems. Based in Münster, he combines deep academic training with hands-on product engineering and a knack for squeezing performance out of constrained cloud environments.
8 years of coding experience
3 years of employment as a software developer
Doktor (Ph.D.), Dr. rer. nat, Informatik, Doktor (Ph.D.), Dr. rer. nat, Informatik at Universität Münster
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Westfälische Wilhelms-Universität Münster
English, German