Nero Chen is a Senior Data Engineer with nine years of experience blending data science, backend engineering, and cloud architecture to deliver reliable, production-grade systems. He has led data teams and built forecasting, real-time trading, and GenAI platforms—reducing costs and automating routine work with Airflow, OpenTelemetry, and MLOps patterns. At Micron he migrated on-prem systems to cloud, introduced high-availability architectures and a semantic search layer for internal GenAI, while at Welhunt he saved substantial yearly costs by deploying real-time platforms and forecasting models. A hands-on open-source contributor and Kaggle competitor, Nero pairs strong academic training in biomedical informatics with practical expertise across Python, PyTorch, databases, Docker, and AWS/GCP. Colleagues rely on him for mentoring, coding standards, and pragmatic observability solutions that make models and pipelines easier to operate.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Institute of BioMedical Informatics, (G.P.A. : 4.0/4.3), Master's degree, Institute of BioMedical Informatics, (G.P.A. : 4.0/4.3) at 國立陽明大學
Bachelor's degree, Medical Informatics Engineering, (G.P.A. : 3.9/4.3), Bachelor's degree, Medical Informatics Engineering, (G.P.A. : 3.9/4.3) at 高雄醫學大學
Contributions:1 push, 3 branches in 1 year 5 months
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