Shan Yu is a PhD candidate at UCLA and a software engineer with eight years of experience based in Los Angeles. They blend academic research with practical engineering, pursuing advanced study while maintaining active development work. With a steady GitHub presence tied to the UCLA ecosystem, Shan brings research-driven rigor to software projects and experimental prototypes. Colleagues can expect an engineer comfortable moving between theory and implementation, translating complex ideas into reproducible code and experiments.
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
Contributions:40 commits in 9 months
pytorchtensorflow-distributedrayflinkapache
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