yingyibiao 

Beijing, China
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Summary

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Top expert inAdvanced Chinese Natural Language Processing and Machine Learning Technologies
Xuan Biao is a Senior Engineer based in Beijing with six years of hands-on experience building and maintaining NLP models at scale. Currently at Baidu, he focuses on integrating and fine-tuning advanced transformer architectures—most notably contributing XLNet tokenizers, modeling components, and documentation to the widely used PaddleNLP open-source library. His work blends model development, bug fixes, and codebase hygiene, showing a practical emphasis on production-ready ML engineering. Colleagues rely on him to translate research-grade models into usable library features and to keep model implementations robust and maintainable. Notably, his contributions to a flagship repository in the PaddlePaddle ecosystem reflect both domain expertise in NLP and a commitment to community-facing tooling. He brings a pragmatic, detail-oriented approach to bridging research code and industrial deployments.
code6 years of coding experience
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Github Skills (11)

paddlepaddle10
tokenize10
model-building10
tokenizer10
nlp10
xnet10
python10
modeling10
model-driven10
model-driven-development10
transformers9

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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PaddlePaddle/PaddleNLP

Mar 2021 - Aug 2022

Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Role in this project:
userML Engineer
Contributions:1 release, 534 reviews, 126 commits in 1 year 5 months
Contributions summary:Yingyibiao's primary contribution involved adding and modifying XLNet models, including the implementation of tokenizers and modeling components. They focused on integrating XLNet into the paddlenlp library, demonstrating expertise in natural language processing by adding fine-tuning code and documentation. Furthermore, the user addressed bugs, optimized the code style, and updated the model's functionality, signifying a focus on model development and maintenance within the paddlenlp framework.
extractionsemantic-similaritybertnlp-tasksfinetuning
yingyibiao/Paddle

Jun 2021 - May 2022

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Contributions:24 pushes, 4 branches in 11 months
pytorchparalleldeep-learningreinforcement-learningindustrial
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yingyibiao