Ryan Irwin
Director Of Engineering at Yelp
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRyan Irwin is a Director of Engineering at Yelp with 12 years of experience building and leading machine learning platform and MLOps teams that power core products like recommendations, search, ads, and trust & safety. He combines deep academic rigor—a PhD in Computer Engineering focused on resource optimization for distributed systems—with hands-on experience in scalable data pipelines, ETL, Hadoop ecosystems, and computer vision. At Yelp he progressed from data infrastructure IC to head of ML platform, now overseeing cross-functional ML teams that support over 40 internal groups and massive production workloads. His background includes designing distributed monitoring for GENI at BBN and a data-engineering fellowship project that explored end-to-end ingestion and analytics on AWS/Hadoop, reflecting a knack for shipping production systems from research prototypes. Colleagues describe him as a pragmatic technical leader who fosters ML community and portfolios solutions that bridge deep learning research and reliable, large-scale infrastructure.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Virginia TechBachelor's Computer Engineering, Bachelor's Computer Engineering at Mississippi State University
English
Github Skills (31)
estate9
yelp9
publish9
data-capture8
historical8
cdc8
sensu8
binlog8
mysql7
chronos7
sql7
database7
docker7
infrastructure6
change-data-capture6
Programming languages (1)
Github contributions (5)
rirwin/theft-market
Jun 2014 - Aug 2014
Contributions:214 commits in 1 month
analyzinginfrastructurehistoricalreal-estateestate
rirwin/stock_analysis
Jun 2017 - Jun 2020
Contributions:44 pushes, 5 branches in 3 years
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