Hao Yang
Software Engineer - Spark-rapids at The Apache Software Foundation
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolHao Yang is a software engineer with 10 years' experience focused on GPU-accelerated big data and parallel computing, currently driving Spark-Rapids development at NVIDIA to speed Spark SQL workloads and reduce processing costs. He is an active Apache Arrow committer (Arrow-rs and DataFusion), blending systems-level Rust contributions with production GPU optimizations. With an MS in High Performance Computing and Data Science from the University of Edinburgh and a background in large-scale IC test software, he pairs rigorous academic training with pragmatic engineering for performance-critical systems. A fan of type systems, functional programming and formal verification, he brings a correctness-first mindset to performance tuning and open-source collaboration. His GitHub work also reflects interest in LLM pretraining, signaling a bridge between data infrastructure and emerging AI workloads.
10 years of coding experience
Master of Science - MS, high performance computing with data science, Master of Science - MS, high performance computing with data science at The University of EdinburghBachelor of Science - BS, Environmental Science, Bachelor of Science - BS, Environmental Science at Beijing Normal University
Chinese
Github Skills (55)
interoperability10
onnx10
nvidia10
keras10
nvidia-docker9
pytorch9
machine-learning9
visualizer9
mxnet9
scikit-learn9
tensorflow9
mobilenet9
tensorflow-lite9
deep-learning9
backend8
Programming languages (5)
Github contributions (5)
haohaibo/tutorial
Apr 2017 - Aug 2020
Contributions:352 commits, 1 PR, 341 pushes in 3 years 5 months
recorddaily-learning
haohaibo/tgmm
Feb 2017 - Nov 2018
Contributions:24 commits, 21 pushes, 6 branches in 1 year 8 months
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