Daniel Jiang
Software Engineer at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Jiang is a software engineer based in the San Francisco Bay Area with a decade of experience building full-stack systems for scale, currently contributing at Google after multiple impactful roles at PayPal. He has delivered production tools for investigations and fraud detection, including dashboards and scanning pipelines using technologies such as Django, Spring, Elasticsearch, Spark, React, and Node. At UC Irvine he designed a machine-learning dataset repository that helped secure multi-million dollar NSF funding, demonstrating an ability to bridge research and production. His background includes AR training apps on HoloLens and end-to-end prototypes that became operational products, reflecting a mix of applied research and pragmatic engineering. Known for shipping reliable, cross-disciplinary solutions, he quietly excels at turning complex compliance and data challenges into usable workflows.
10 years of coding experience
3 years of employment as a software developer
University of California, Irvine
Github Skills (2)
python1
twitter1
Programming languages (5)
Github contributions (5)
uci-ml-repo/ucimlrepo-data
Apr 2020 - May 2020
Contributions:4 commits, 5 pushes, 1 branch in 29 days
uci-ml-repo/ucimlrepo-feedback
Jun 2021 - Jun 2023
Contributions:2 pushes, 1 branch, 1 issue in 2 years
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