Yao Zhao
CTO at LiveX AI Inc.
Fremont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYao Zhao is a seasoned technology leader and current CTO based in Fremont with a PhD in Computer Science from Northwestern and over a decade of experience bridging research and product engineering. He has led engineering and research teams at companies from Bell Labs and Google to multiple leadership roles at Shape Security and F5, bringing deep expertise in security, data science, and scalable systems. At LiveX AI he now directs technical strategy for an AI startup, combining hands-on research roots with executive delivery experience. Yao is also an active open-source contributor to high-profile projects like tensorflow/datasets, where he expanded major NLP and summarization datasets—work that underscores his practical impact on ML tooling and data quality. Colleagues value his rare mix of academic rigor, threat-research background, and product-focused execution across both startups and large enterprises.
7 years of coding experience
14 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Northwestern UniversityBS Computer Science, BS Computer Science at Tsinghua University
Chinese
Github Skills (11)
data-set10
data-processing10
machine-learning10
tensorflow10
python10
data-model10
user-data10
data-engineering10
datasets10
numpy9
jax8
Programming languages (2)
Github contributions (5)
tensorflow/datasets
Sep 2019 - Nov 2021
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 commits in 2 years 2 months
Contributions summary:Yao implemented the addition of several datasets including Gigaword, BigPatent, XSum, Newsroom, AESLC, Reddit TIFU, WikiHow, Scientific Papers, Multi-News, and BillSum. These contributions involved creating new dataset builders, defining features, and implementing splitting and example generation logic. The user also updated existing datasets with new versions and made improvements to data cleaning and formatting. These changes focused on expanding the scope and improving the quality of the datasets available within the tensorflow/datasets repository.
jaxtensorflowmachine-learningdatadatasets
google-research/pegasus
Apr 2020 - Jul 2021
Contributions:14 commits, 10 PRs, 9 pushes in 1 year 3 months
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