Christopher Olston
Software Engineer at Google
Los Altos, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChristopher Olston is a Stanford CS PhD and seasoned software engineer specializing in large-scale ML and data infrastructure, with over a decade of experience building production systems at Google and Moloco. He led Moloco’s ML Infrastructure team to train hundreds of models per day and serve at 6M qps, and was a core developer of TensorFlow Serving at Google, helping support ~180M qps in production. His research pedigree includes award-winning work generalizing MapReduce to DAGs (Pig) and inventing the co-group primitive, contributions that influenced industry-standard big-data frameworks. Comfortable in C++, Python, Java and Go, he blends deep systems design with people leadership and polished public speaking across academia and industry. Based in Los Altos, he has an unusual career rhythm of interleaving intense production engineering with impactful research and teaching.
10 years of coding experience
17 years of employment as a software developer
B.S., Electrical Engineering and Computer Science, B.S., Electrical Engineering and Computer Science at University of California, BerkeleyPhD, Computer Science, PhD, Computer Science at Stanford University
English, French, Chinese
Stackoverflow
86reputation
4kreached
8answers
0questions
Github Skills (24)
python10
machine-learning-models10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
cpp10
scalable8
build-system8
bazel7
grpc6
queue6
optimization6
Programming languages (2)
Github contributions (5)
chrisolston/serving
Jun 2016 - May 2018
A flexible, high-performance serving system for machine learning models
Contributions:11 pushes, 37 branches in 1 year 10 months
machine-learning-models
zhouyoulie/serving
Dec 2017 - Dec 2017
Contributions:2 pushes in 1 day
servingmachine-learningperformancehigh-performancemachine-learning-models
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