Yitong Zhou
Senior Engineering Manager at LinkedIn
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolYitong Zhou is a Senior Engineering Manager in the Bay Area with 13 years building large-scale ML infrastructure and production systems across LinkedIn, Airbnb, Pinterest, and Snap. He combines a strong math and computer science foundation with hands-on experience in distributed ML platforms, notably as a major contributor to LinkedIn’s open-source Photon ML and Dr. Elephant projects for Spark/Hadoop. His recent leadership spans AI training infrastructure and graph/relationship ML for ranking and personalization, driving universally applicable user models and embeddings at Pinterest. Yitong is equally comfortable shipping code and shaping orgs—his background includes back-end, DevOps, and build-tooling contributions such as data converters, build refactors, and log analyzers. Based in San Francisco, he leverages a CMU MIS education and pragmatic research instincts to solve nonstandard ML problems like customized pricing and demand prediction. Colleagues describe him as a problem-solver who prefers elegant algorithmic solutions that scale in real production environments.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering Management Information Systems, Bachelor of Engineering Management Information Systems at Renmin University of ChinaMaster of Information Systems Management, Master of Information Systems Management at Carnegie Mellon University
Stackoverflow
1,165reputation
164kreached
11answers
40questions
Github Skills (28)
spark10
hadoop10
java10
javas10
licensing9
key-management9
hadoop-mapreduce9
python9
scala9
mapreduce9
rights-management9
data-analysis8
build-automation8
bash8
avro8
Programming languages (5)
Github contributions (5)
linkedin/photon-ml
Feb 2015 - Aug 2016
A scalable machine learning library on Apache Spark
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:63 commits, 6 PRs, 10 pushes in 1 year 6 months
Contributions summary:Yitong primarily contributed to the development and maintenance of the Photon ML library. They wrote a Python script to convert data from libsvm format to TrainingExample avro. The user also made changes to the Gradle build configuration and added a shell script for automated licensing, which demonstrates involvement in the project's build process and tooling. Further contributions included refactoring the license headers for files.
scalabledata-sciencemachine-learningapachespark
linkedin/dr-elephant
May 2015 - Sep 2015
Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark
Role in this project:Back-end Developer
Back-end DeveloperContributions:11 commits, 2 comments in 4 months
Contributions summary:Yitong primarily contributed to the Dr. Elephant project by modifying and enhancing the data fetching and analysis logic for Hadoop and Spark applications. They made significant changes to the `MapReduceFetcherClassic` and `MapReduceFetcherHadoop1` classes, indicating a focus on improving the retrieval and processing of MapReduce job data. Additionally, they integrated Spark log analyzers into the system, enabling the analysis of Spark application logs. These modifications suggest a focus on improving data collection, analysis, and the overall monitoring capabilities of the tool.
performance-monitoringelephantapachebig-dataspark
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.