Bella Zhao
Full-stack Software Engineer at Oracle
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolBella Zhao is a full-stack software engineer based in Seattle with eight years of experience and a master's in computer science from the University of Washington. She specializes in front-end development with React, TypeScript, and Node.js while also building highly scalable backend systems using AWS, MySQL, and MongoDB. At Oracle she designed a widely used Metric Explorer and improved front-end performance and test coverage, and at ByteDance she delivered cross-platform Electron apps and fault-tolerant CDN tooling. Her open-source contributions include implementing a DNN/RNN-based YouTube recall model in the prominent PaddlePaddle/models repo, reflecting hands-on ML engineering alongside production web work. Known for refactoring legacy code into modular, high-performance systems, she blends data-driven UI design with backend reliability.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Washingtonbecholer, front-end engineer, becholer, front-end engineer at NorthEast university
English
Github Skills (14)
neural-network10
paddlepaddle10
machine-learning10
recommendation-engine10
recommender10
deep-learning10
recommendation-system10
python10
recommender-system10
computer-vision9
rnn-model8
n8
nlp7
tensorflow5
Programming languages (2)
Github contributions (4)
PaddlePaddle/models
Jan 2018 - Feb 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:28 commits, 1 PR, 12 comments in 10 days
Contributions summary:Bella's commits primarily focused on developing and refining a deep learning model for YouTube recall. This included the implementation of a DNN model with embedding layers and recurrent neural networks (RNNs) using PaddlePaddle. The user also worked on supporting functionalities like retrieving user and item vectors, defining network configurations, and creating data processing components. The contributions involved inferencing and recommendations.
nlpdeep-learningpaddlepaddlerecommendationcomputer-vision
Bella-Zhao/models
Jan 2018 - Feb 2018
Contributions:50 pushes, 4 branches in 15 days
configurationsconfigurationyaml
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