Jiawei Xia
Software Engineer at Google DeepMind
United States
Summary
🤩
Rockstar🎓
Top SchoolJiawei Xia is a software engineer and Ph.D.-trained applied physicist with eight years of experience building signal processing and reconstruction algorithms, now working on GenAI at Google. He bridges rigorous research from a University of Michigan nuclear engineering doctorate with production-grade ML engineering, contributing to high-profile open-source projects like TensorFlow by improving control-flow examples, test reliability, and core test coverage. Prior roles at Cubist Systematic Strategies involved quantitative research where his physics-first approach informed data-driven model development. His background in detector readout testing for the ATLAS upgrade hints at practical hardware-to-software fluency that complements his algorithmic expertise. Based in the United States, he blends academic depth with a focus on robust, testable systems for real-world ML deployments.
9 years of coding experience
Doctor of Philosophy - PhD Nuclear Engineering, Doctor of Philosophy - PhD Nuclear Engineering at University of MichiganBachelor's degree Engineering Physics, Bachelor's degree Engineering Physics at Tsinghua University
Chinese, English
Github Skills (7)
machine-learning10
tensorflow10
python10
deep-learning9
unit-testing8
neural-network8
deep-neural-networks7
Programming languages (4)
Github contributions (5)
tensorflow/tensorflow
Aug 2022 - Jan 2023
An Open Source Machine Learning Framework for Everyone
Role in this project:
ML Engineer
ML EngineerContributions:18 reviews, 10 commits, 22 comments in 4 months
Contributions summary:Jiawei contributed to the TensorFlow repository by adding and improving examples for `tf.tuple`, demonstrating a focus on control flow and graph execution. They fixed non-deterministic docstring tests, enhancing the reliability of documentation and testing processes. Additionally, they improved the coverage of tests for `tensor.cc`, indicating a dedication to improving the testing infrastructure and overall code quality.
machine-learningtensorflowpythondeep-learningdeep-neural-networks
JW1992/NISTGammaSearch
Nov 2017 - Dec 2017
Contributions:29 commits, 28 pushes, 1 branch in 29 days
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