jiaozhenyu
Software Engineer at baidu PaddlePaddle
Beijing, China
Summary
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Rockstarjiaozhenyu is a Beijing-based software engineer with eight years of experience focused on NLP and machine learning infrastructure. He has contributed to high-profile open-source projects at Baidu, including PaddlePaddle/models and baidu/lac, where he implemented and improved NER examples, inference pipelines, and compatibility with newer Python and PaddlePaddle versions. Comfortable across model training, network configuration, and inference tooling, he blends backend engineering rigor with practical ML engineering. Notably, his work touches both core utility code and end-to-end examples in widely used repositories, showing an ability to make research-ready models more reproducible and production-friendly.
8 years of coding experience
Github Skills (15)
paddlepaddle10
data-loading10
machine-learning10
preloading10
nlp10
named-entity-recognition10
inference10
deep-learning10
resource-loading10
python10
tensorflow9
computer-vision8
neural-network8
n7
rnn-model7
Programming languages (3)
Github contributions (5)
baidu/lac
Jul 2018 - Jan 2019
百度NLP：分词，词性标注，命名实体识别，词重要性
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 commits, 13 PRs, 19 pushes in 6 months
Contributions summary:Jiaozhenyu primarily contributed to the `infer.py` and `reader.py` files, indicating a focus on the inference process for the named entity recognition model. Their work involved modifying code related to data loading, model loading, and inference execution. The changes also included updates to support Python 3 and PaddlePaddle v1.1, showing an effort to maintain and upgrade the project's core functionalities.
nlpldabertpaddlepaddlesimilarity
PaddlePaddle/models
Mar 2018 - Dec 2018
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Role in this project:ML Engineer
ML EngineerContributions:35 commits, 6 PRs, 20 pushes in 9 months
Contributions summary:Jiaozhenyu contributed to the implementation of a Named Entity Recognition (NER) task within the PaddlePaddle models repository. Their work involved adding a new example of NER in fluid style and included changes to the `reader.py`, `train.py`, and `network_conf.py` files, indicating a focus on model training and network configuration. The user also made changes to `infer.py` and `utils.py`, which suggests involvement in model inference and utility functions related to the NER model.
nlpdeep-learningpaddlepaddlerecommendationcomputer-vision
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