Sheng Guo - Software Engineer at Google

Sheng Guo

Software Engineer at Google

Mountain View, California, United States

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Summary

👤

Senior

🎓

Top School

Sheng Guo is a seasoned software engineer with 15 years of experience building large-scale distributed systems, search and relevance platforms, and ML serving infrastructure, currently working on ML serving for Google Search and Ads. He helped pioneer LinkedIn’s news feed ranking and core backend platforms—contributing to open-source SenseiDB and designing high-throughput systems like the Lego rule engine that power growth and personalization. His skill set spans Java, Hadoop, Kafka, Lucene, NLP/text mining and mobile native development (iOS/Swift), enabling him to bridge backend ranking systems with consumer-facing onboarding flows. An active contributor to Sensei, Sheng combines production-grade engineering with a research background (PhD work in data mining/NLP), which informs pragmatic solutions for relevance and serving at scale.

15 years of coding experience

7 years of employment as a software developer

Doctor of Philosophy (Ph.D.), Data Mining, NLP, Doctor of Philosophy (Ph.D.), Data Mining, NLP at Virginia Tech

Bachlor, Computer Science, Bachlor, Computer Science at Nanjing University of Aeronautics and Astronautics

Master, Computer Science, Master, Computer Science at Shanghai Jiao Tong University

English, Chinese

Github Skills (9)

javas10

java10

database-design9

lucene9

json9

rest-api8

api-rest8

restful-api8

api-design8

Programming languages (1)

Java

Github contributions (5)

LinkedInAttic/sensei

Apr 2011 - Dec 2012

distributed realtime searchable database

Role in this project:

Back-end Developer

Contributions:272 commits in 1 year 7 months

Contributions summary:Sheng modified and cleaned client commands within the distributed real-time searchable database project. Their commits focused on improving the client-side interaction and functionality, specifically by modifying and cleaning up client commands. These changes indicate a focus on the client-side aspects of the distributed database, likely improving the user experience or the internal workings of the client interface. The code differences suggest the user was involved in enhancing the user interface for the distributed realtime searchable database.

realtimedatabasesearchabledistributed

linkedin/sin

Jul 2011 - Sep 2011

Contributions:14 commits in 2 months

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