Linghao Zhang

Staff Research Engineer, Gemini Personalization

Mountain View, California, United States
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Summary

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Senior
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Top School
Linghao Zhang is a Staff Research Engineer based in Mountain View with 11 years of experience building generative AI systems and production-grade ML infrastructure. He currently leads personalization efforts for Gemini at Google DeepMind, driving end-to-end improvements from post-training and synthetic data creation to retrieval, ranking, and summarization to make assistants genuinely useful. Previously he led full-stack GenAI work at Google—spanning application-layer agents, inference throughput optimizations, and model tuning (SFT, RL, preference optimization)—and helped architect Looker Studio’s backend and federated query engine. Comfortable moving between research and production, he combines deep academic training (CMU, Fudan) with pragmatic engineering, and a background in GPU-accelerated ML systems from an NVIDIA research internship. Colleagues describe him as focused on measurable quality gains and preserving authenticity in AI-driven experiences.
code11 years of coding experience
job8 years of employment as a software developer
bookExchange Program Computer Science, Exchange Program Computer Science at National Chiao Tung University
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at Fudan University
bookMaster's degree Computer Science, Master's degree Computer Science at Carnegie Mellon University
bookSummer Program Design Thinking, Summer Program Design Thinking at Stanford University
languagesChinese, English, Japanese, shaoxinese
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Github Skills (85)

python10
mdx-js10
nlp10
natural-language-processing10
nltk10
machine-learning10
static-blog9
jupyter9
kaggle9
sframe9
jupyter-notebook9
google-chrome8
valgrind8
letter8
igraph8

Programming languages (10)

TypeScriptC++CSSTeXJavaScriptGoLuaHTML

Github contributions (5)

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AdvEx/AdvEx

May 2018 - Aug 2018

Contributions:24 commits, 22 pushes, 2 issues in 2 months
dnc1994/Kaggle-Playground

Feb 2016 - Jul 2019

Jupyter notebooks and code examples for my Kaggle Beginners' Guide.
Contributions:32 commits, 27 pushes, 1 branch in 3 years 4 months
kagglepythondata-sciencejupyter-notebookmachine-learning
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