Summary
Yannik Benz is a Machine Learning Engineer with nine years of experience building cloud-native ML and software systems, currently delivering scalable solutions for DB Systel and the railway domain. He combines a strong cloud engineering background (AWS, GCP, Terraform) with applied research in autonomous driving and NLP—his master's thesis and Bosch research produced graph-based representations for trajectory prediction and he co-authored an ACL paper on low-level adversarial attacks. Comfortable moving models from prototype to production, Yannik has hands-on experience with Kubernetes, Kafka, PyTorch and graph neural networks, and holds Google Cloud certifications including Professional Cloud Architect. Based in Frankfurt, he is driven by solving real-world problems at the intersection of ML, cloud infrastructure, and automotive systems, and is continually expanding his toolset to bridge research and operational reliability.
9 years of coding experience
5 years of employment as a software developer
Technischen Universität Darmstadt
German, English