Weijin Zou
AI-Machine Learning Engineer at LinkedIn
California, United States
Summary
🤩
Rockstar🎓
Top SchoolWeijin Zou is an AI-Machine Learning Engineer based in California with six years of experience building production ML systems and research prototypes across industry and academia. Currently at LinkedIn, he develops deep models for ads relevance and privacy-preserving audience expansion using TensorFlow, Spark, and Kubernetes, and previously contributed to foundational AI algorithm work during an internship there. His research at Yale spans augmented LLMs, table- and database-driven QA, and data-to-text summarization, complementing earlier NLP and biomedical ML projects—including a hybrid GCN for drug response prediction while interning at Baidu. Proficient in Python, C++, SQL, and a range of ML frameworks (TensorFlow, Keras, Paddle), he combines large-scale engineering with hands-on model research and has experience integrating systems from data pipelines to REST APIs. Outside work he’s musically disciplined (highest piano level) and brings cross-disciplinary rigor from clinical data analysis to financial NLP, a background that informs pragmatic, evaluation-driven model design.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Yale University
Github Skills (10)
representation-learning10
ppi10
protein-design8
self-supervised-learning8
scale6
machine-learning6
large-scale6
deep-learning5
pytorch5
tensorflow4
Programming languages (1)
Github contributions (5)
VIcKII-Z/fall2020coursefiless
Nov 2020 - Aug 2021
Contributions:1 push, 1 branch in 9 months
VIcKII-Z/notebook-kaggle
May 2020 - Aug 2020
Contributions:10 pushes, 1 branch in 2 months
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