- I’m the author of Apache Fury(incubating): A blazingly fast multi-language serialization framework powered by JIT and zero-copy. I created Fury in 2019.07, open sourced it in 2023.07, donated it to ASF in 2023.12.
- I'm the PMC member of Mars: a distributed scientific computing framework.
- I'm experienced at:
- distributed frameworks: Spark/Flink/Hadoop/Ray/Dask/Mars/TensorFlow
- computing patterns: streaming/batch computing, tensor computation, online learning, batch inferrence.
- computing engines: Arrow/Pandas/Numpy/Polars/Jax/XLA.
- Currrently I'm focusing on XLA/TVM/TensorRT/Media engine, multimodal computing and inferrence Framework.
- 📫 I'm open for opportunities, feel free to reach me by:
- email: [email protected]
- Twitter: chaokunyang
- linkedin: www.linkedin.com/in/chaokunyang
- wechat: laryli25
- zhihu: chaokunyang
Mindful
Founder of Apache Fury. Focus on high-performance computing. Now building distributed computing and AI systems.
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apache/fury
apache/fury PublicA blazingly fast multi-language serialization framework powered by JIT and zero-copy.
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ray-project/ray
ray-project/ray PublicRay is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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apache/arrow
apache/arrow PublicApache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
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mars-project/mars
mars-project/mars PublicMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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