Daniel Whyatt
Associate Technical Fellow
Huntsville, Alabama, United States
Summary
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Senior🎓
Top SchoolDaniel Whyatt is an NLP engineer and Associate Technical Fellow at Boeing with 11 years of experience applying state-of-the-art language modeling and ML architectures to real-world problems. He has advanced from research and instructional roles in computational linguistics and second-language teaching to leading NLP projects, giving dozens of presentations and generating multiple pieces of IP. His background uniquely blends deep academic training (three master’s degrees including Computational Linguistics) with extensive international language-teaching experience, informing pragmatic solutions for language understanding. Based in Huntsville, he combines production-focused engineering with ontology and pipeline-building expertise from early research—bridging linguistics, ML, and applied systems at enterprise scale.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, History, Bachelor’s Degree, History at University of Wisconsin-MadisonMaster’s Degree, Computational Linguistics, Master’s Degree, Computational Linguistics at Indiana University BloomingtonUniversity of WarsawTrinity College DublinTeaching English as a Foreign Language Certificate, Teaching English as a Foreign Language Certificate at Worldwide Teachers Development Institute
Spanish, French, Polish, EnglishGithub contributions (2)
dwhyatt/automatic-spanish-level-assessment
Feb 2015 - Feb 2015
Contributions:22 commits, 11 pushes in 21 days
dwhyatt/short-passage-clustering
Feb 2015 - Feb 2015
Contributions:2 pushes in 1 day
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