Yang Liu is a Meteo Data Engineer with nine years of experience at the nexus of AI, weather and climate, and energy systems, currently managing a ~1PB TileDB weather forecasting database and production ETL on Google Cloud, Airflow and Kubernetes. He combines a PhD-level background in atmospheric sciences with hands-on research software engineering—building a state-of-the-art weather data library, high-performance processing pipelines, and machine learning models that inform trading and power forecasting. His career blends HPC and cloud expertise from supercomputers to scalable production clusters, and he has a strong track record of delivering open research software and supervising ML-driven climate projects. Notably, he translates complex multi-dimensional meteorological data into operational decision support, bringing both domain insight and production-grade engineering to energy meteorology.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Atmospheric Sciences and Meteorology, Doctor of Philosophy (PhD), Atmospheric Sciences and Meteorology at Wageningen University
Master of Science (MSc), Offshore and Dredging Engineering, Overall 8 / 10, Master of Science (MSc), Offshore and Dredging Engineering, Overall 8 / 10 at Delft University of Technology
Bachelor of Science (BSc), Naval Architecture and Marine Engineering, Overall 86 / 100 Major 91 / 100, Bachelor of Science (BSc), Naval Architecture and Marine Engineering, Overall 86 / 100 Major 91 / 100 at Dalian University of Technology
Contributions:214 PRs, 157 pushes, 229 branches in 1 year 8 months
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