Summary
Zilong Zhao is a Senior Data Engineer Architect with a decade of experience applying mathematical rigor to industrial data science and cloud-native analytics. He has led cross-organizational teams to design scalable IIoT and MLOps platforms—building data meshes, ML-as-a-Service solutions, and secure edge interoperability for smart factories. Hands-on across the full pipeline, he implements real-time OPC-UA integrations, Prefect/Kubernetes pipelines, and model lifecycle tooling with MLflow, Snowflake, Databricks and Azure. Known for prototyping generative-AI parameter recommenders and optimizing container security practices, he blends deep theory with practical engineering to cut costs and accelerate deployments. Based in Liechtenstein, he is an open-source and high-performance computing enthusiast who enjoys turning complex sensor streams into actionable insights and mentoring cross-functional teams.
10 years of coding experience
9 years of employment as a software developer
Technischen Universität Darmstadt
English, German, Chinese, Spanish