Dongni Zhao

Software Engineer at Google

Greater Seattle Area United States
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Summary

🤩
Rockstar
🎓
Top School
Dongni Zhao is a software engineer with 11 years of experience building large-scale systems for Amazon and Google, currently shaping Google's internal GraphQL engine to meet complex enterprise needs. She has deep API and backend experience from roles on Display & Video 360 and Google Ads Sales Center, combining data-driven BI tooling with production-grade service engineering. At Amazon she contributed to the Global Payments Platform, delivering multi-form-factor payment skins that reflect a pragmatic focus on user-facing integration challenges. Dongni also contributes to open-source tooling around content extraction—improving tika-python’s server interaction and MIME detection—which highlights her attention to robustness and interoperability. She holds an MS in Computer Science from USC and consistently bridges research-grade knowledge with hands-on engineering at scale. Based in the Greater Seattle Area, she brings a blend of backend specialization and practical product sensibility to complex distributed systems.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Southern California
bookBachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Xi'an University of Technology
languagesChinese, English
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Github Skills (6)

python10
http-request10
text-parsing9
parsing9
http9
networking8

Programming languages (1)

Python

Github contributions (5)

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chrismattmann/tika-python

Apr 2015 - May 2015

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Role in this project:
userBack-end Developer
Contributions:49 commits, 14 PRs, 3 pushes in 21 days
Contributions summary:Dongni primarily focused on enhancing the functionality of the `tika-python` library. Their work involved fixing request errors and improving the Tika server interaction, as well as adding functionality related to port detection and configuration. They also made multiple changes to the server's startup and file retrieval processes, improving stability. The user also worked on detecting the MIME/media type of the stream.
extractionpythontranslation-interfacepython-bindingtika-server
dongnizh/tika-img-similarity

Apr 2015 - Apr 2015

Contributions:5 commits, 16 PRs, 104 pushes in 1 day
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