Summary
Zehua Chen is a DevOps Engineer based in Stockholm with 8 years of experience streamlining cloud-native workflows and production ML pipelines. He automates CI/CD and infrastructure with Python, builds developer tooling in React.js and FastAPI, and is fluent in Kubernetes, Docker, and Helm. His background in machine learning (MSc from KTH) and hands-on work at SEB and FDJ UNITED give him a rare blend of ML engineering and platform operations expertise. Zehua’s thesis work at Scania—modeling road networks to predict fuel consumption—underscores his ability to turn domain data into actionable models that integrate with operational systems. Colleagues rely on him to make complex delivery pipelines faster, cleaner, and more predictable while keeping an eye on emerging cloud-native tools.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at KTH Royal Institute of Technology
Bachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at Northeastern University (CN)
Chinese, English, Korean