Wes Feely
Senior Research Scientist at NVIDIA
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolWes Feely is a Senior Research Scientist with 12 years of experience specializing in natural language processing, machine translation, and multilingual data quality for large-scale language models. He has led annotation teams and built production-ready translation and classification models at AWS and Amazon AGI, and now advances research at NVIDIA. His background blends rigorous academic training (MS Language Technologies, Carnegie Mellon) with hands-on engineering dating back to statistical MT startups and RWS/Language Weaver neural MT work. Wes is experienced in closing the loop between linguistics, dataset curation, and model fine-tuning to improve real-world safety and content filtering. Notably, he pairs deep research experience with operationalizing models for internal customers, making him effective at translating experimental gains into production impact.
12 years of coding experience
11 years of employment as a software developer
BA/MA Linguistics, BA/MA Linguistics at University of Colorado BoulderMS Language Technologies, MS Language Technologies at Carnegie Mellon UniversityGithub contributions (4)
wfeely/farsiNLPTools
Mar 2014 - Jun 2014
Contributions:12 commits in 2 months
wfeely/japanese-verb-conjugator
Aug 2019 - Nov 2019
Contributions:6 commits in 2 months
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