Rodney Kinney
Principal Machine Learning Engineer at Allen Institute for Artificial Intelligence (AI2)
Bellevue, Washington, United States
Summary
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Rockstar🎓
Top SchoolRodney Kinney is a Principal Machine Learning Engineer with nearly two decades of experience building end-to-end ML systems, search relevance models, and large-scale distributed infrastructure across startups and major tech organizations. As a founding engineer and back-end technical lead for Semantic Scholar at AI2, he designed real-time ingestion, deduplication, and dataset pipelines that scaled to millions of users and contributed core tooling for one of the largest open LLM pretraining corpora. His background in computational physics informs a rigorous, probabilistic approach to modeling—applied to author disambiguation, influential-citation detection, and domain-specific rankers at Microsoft and Amazon. Hands-on and technical-lead oriented, he combines mentorship and process improvements with deep implementation skills in Java, Scala, Python, Spark, and low-latency distributed systems. He’s notable for architecting long-lived ML pipelines and high-performance deduplication tools that quietly enable reproducible, large-scale research and production ML.
18 years of coding experience
21 years of employment as a software developer
Ph. D. Computational Physics, Ph. D. Computational Physics at The University of Texas at AustinCalifornia Institute of Technology
Stackoverflow
1reputation
0reached
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Github Skills (73)
leader10
crf10
pdfbox10
squad10
nodejs10
pdf10
javascript9
corpus9
acl9
data-processing9
topic-modeling9
nlp9
metadata9
automata-theory9
large-language-models9
Programming languages (8)
Github contributions (5)
allenai/meta-eval
Apr 2015 - Nov 2015
Contributions:41 commits, 18 PRs, 9 pushes in 7 months
extractionevaluatemetadata-extractionmetadataresearch-papers
rodneykinney/pipeline
Mar 2015 - Jan 2016
Contributions:1 release, 15 PRs, 189 pushes in 10 months
experimentationpipelinedata-sciencemachine-learningmlops
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