Natural Language Engineer at Apple
San Francisco Bay Area
Apple
Machine Learning/NLP Engineer
VoiceBox Technologies
Computational Linguist Intern
June 2010 to September 2010
VoiceBox Technologies
Computational Linguist
September 2010 to May 2013
FrameNet, ICSI
Linguistic Annotator
2007 to 2009
Berkeley, CA
What company does John Keesling work for?
John Keesling works for Apple
What is John Keesling's role at Apple?
John Keesling is Machine Learning/NLP Engineer
What industry does John Keesling work in?
John Keesling works in the Computer Software industry.
Who are John Keesling's colleagues?
John Keesling's colleagues are Denis Vladimirov, Roman Lesnevsky, Tina Darmohray, Trevor Sheridan, Anna Zaks, John McCall, Michael Kjellman, Chris Young-Zawada, Paul Park, and Oliver Williams
💼 Past Experience
John Keesling has worked with a variety of computers and software for the last eleven years. He has held various positions within both natural language processing (NLP) and machine learning (ML) software programs, and has been most proud of his work as a Computational Linguist Intern at VoiceBox Technologies from September 2010 to May 2013. He has also worked with FrameNet andategorized frames according to FrameNet guidelines, creating documentation for and maintaining the FrameNet pipeline software.
🎓 Education
John Keesling's current educational background is Computational linguistics at University of Washington from 2009 to 2011 and, prior to that, Linguistics at University of California, Berkeley from 2005 to 2009.Keesling's undergraduate degree from University of California, Berkeley in 2005 and his graduate degree from the University of Washington in 2011 are both in linguistics. He has also holds a Master's in Computer Science from University of Washington in 2009. John is currently a PhD candidate at University of Washington.John Keesling's research interests lie in the study of language and its structure, metabolism, and change. He has published extensively on topics such as machine translation, language learning, and translational morphology. Additionally, he has designed and developed software tor three separate languagerecognition surveys.
💡 Technical & Interpersonal Skills
John Keesling has significant experience working with Natural Language Strategies (NLS), Computational Linguistics, and Natural Annotating Systems (NCAS). Keesling has specifically worked with LI communities to develop state-of-the-art NLS and NCAS software for cognitive research and machine translation. Keesling has also worked withFrameNet, a tissue engineering lab, to create guidelines for annotation of frames in a corpus of biomedical images.Keesling has a Masters in Linguistics from the University of California, Berkeley. Keesling has also worked with a small team in the Laboratory of Molecular Genetics at the University of California, Santa Cruz, developing annotation Guidelines for Fenton's waterstraps, tissue samples, and cancer patients.
Introversion (I), Intuition (N), Thinking (T), Judging (J)
1 year(s), 8 month(s)
Unlikely
Likely
There's 90% chance that John Keesling is seeking for new opportunities
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