Summary
Zhaohui Xing is a data science and cloud architecture leader with 9 years of experience building end-to-end AutoML and deep learning solutions, primarily on Azure. As Manager Data Science & Cloud Architecture & Process at AERZEN Digital Systems he leads cross-functional teams (cloud architects, data engineers, data scientists, and mechanical engineers) to deliver IoT runtime analytics, Databricks ETL, Azure ML and on-prem pipelines. He specializes in structured time-series problems, combining classical statistics, feature engineering and AutoML to drive energy-optimization and production-aware applications. Comfortable in both hands-on engineering and project coordination, he maintains DevOps CI/CD practices and integrates Cosmos DB, IoT Hub, Stream Analytics and Docker-based APIs. His background spans academic research to manufacturing operations, giving him a pragmatic edge in turning complex models into deployable services. Based in Frankfurt, he pairs a solid Python/ML toolset with practical cloud-first delivery experience that often focuses on operationalizing models rather than only prototyping them.
9 years of coding experience
Technische Universität Bergakademie Freiberg
Master's degree, Master's degree at Technische Universität Chemnitz
Bachelor's degree, Bachelor's degree at 沈阳师范大学