Evan Jaffe
Machine Learning Engineer at Ohio Supercomputer Center
Columbus, Ohio, United States
Summary
👤
Senior🎓
Top SchoolEvan Jaffe is a Machine Learning Engineer and computational linguist with a decade of experience applying NLP to human-computer interaction, specializing in coreference resolution, dialogue systems, and modeling human sentence processing. He holds a PhD in Linguistics from The Ohio State University and has transitioned research prototypes into production tools—building parsers, graph annotation/ontology tools, and knowledge-completion features for industry applications. Currently at the Ohio Supercomputer Center, Evan blends high-performance computing with practical ML engineering to scale language technologies. His background spans academia, consulting, and product-focused roles, and he brings hands-on experience in annotation pipelines, QA-led computer vision products, and team leadership from early-career software development. Notably, his work ties psycholinguistic insight to robust annotation and tooling, improving both model interpretability and data quality.
9 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, International Relations, Bachelor's Degree, International Relations at Brown UniversityJapanese Language Proficiency Test, Level II, Japanese language, Japanese Language Proficiency Test, Level II, Japanese language at Yamasa Language and Cultural Research InstituteHistory, Political Science, Art, Japanese, History, Political Science, Art, Japanese at La Universidad Complutense de MadridDoctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at The Ohio State University
English, Spanish, Japanese
Github Skills (19)
modeling8
minecraft8
ubuntu7
chroot6
python6
debian6
shell5
chromeos5
chrome5
representations5
linux5
semantic3
nlp3
chromium3
machine-learning2
Programming languages (3)
Github contributions (5)
jaffe59/chakavian
Dec 2018 - Jan 2019
Contributions:2 pushes, 1 branch in 23 days
jaffe59/synsemnet
Aug 2019 - Aug 2019
A deep neural model for estimating disentangled semantic and syntactic contextualized word representations from data.
Contributions:2 PRs, 2 pushes, 1 branch in 1 day
nlprepresentationsdeep-learningword-representationsestimating
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