Neo Wu

GenAI LLM Personalization Tech Lead Staff Engineer

New York, New York, United States
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Summary

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Senior
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Top School
Neo Wu is a GenAI and LLM personalization tech lead and staff engineer with 11 years of experience building large-scale AI systems at Google DeepMind and Google Research. He has delivered production ML that materially improved flagship products—from ~20% Search gains on Android and multi-million-user Payments models to POI ranking and recommender lifts across Maps and YouTube. Neo blends cutting-edge research (including publications in Science and Nature and a heavily cited first-author paper) with hands-on system design in areas like LLM personalization, RLHF, RAG, federated learning, and multi-modal models. Known for a bias toward action and entrepreneurial vision, he leads cross-functional teams to iterate quickly and ship novel capabilities in Google Gemini/Bard and personal agents. Based in New York, he pairs people-centric mentorship with deep technical craft, repeatedly translating research ideas into deployable, privacy-aware products. An unusual strength is his track record of moving both high-impact academic work and large production launches within the same organization.
code11 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Pennsylvania
languagesEnglish, Chinese
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Github Skills (145)

web-application10
elasticsearch10
webapp10
search-engine10
webapp-framework10
java10
qemu9
javascript9
blocking9
jboss9
wildfly9
angular9
docker-desktop9
mojolicious9
opensearch9

Programming languages (9)

TypeScriptJavaDockerfileC++ShellJavaScriptGoGroovy

Github contributions (5)

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neowu/kafka

Nov 2017 - Mar 2024

kafka docker image for docker hub autobuild
Contributions:1 PR, 44 pushes, 1 branch in 6 years 4 months
docker-imagedocker-hubdockerautobuildaerospike
neowu/maven-repo

Sep 2016 - Mar 2025

Contributions:1 release, 442 pushes, 1 branch in 8 years 7 months
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Neo Wu - GenAI LLM Personalization Tech Lead Staff Engineer