Kai North Email & Phone Number | A). Theoretical models of language processing, and B). real-world innovation in AI. My interest in both fields has led me to Natural Language Processing (NLP). It has established my strong research ethic, encouraged my pursuit for a research position and is responsible for my following skills and specializations. Unique Skills: • Python, Java, and R, including NLP and ML libraries: Tensorflow, Pytorch, Huggingface, Scikit-learn, AWS, etc. • Publications in top-tier conferences and journals, such as ACL, NAACL, COLING, ACM Computing Surveys, and more. • Extensive linguistic knowledge: Phonology, Phonetics, Semantics, Syntax, Morphology. • Expertise in ML models for NLP: SVMs, Random Forests, Deep Learning, Transformers, LLMs. • Experience with data visualization and data analysis software and languages: Tableau, SQL. • Created NLP and ML applications via AWS, Agile, Git, Docker and other software engineering practices.

Kai North

A). Theoretical models of language processing, and B). real-world innovation in AI. My interest in...
United States

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Kai North’s Email knorth@gmu.edu

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Kai North’s Location United States

Kai North’s Current Industry George Mason University

Kai North’s Prior Industry Nbme | Rochester Institute Of Technology | University Of Plymouth

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Research And Teaching Assistant

2022-08-01 00:00:00 - Present

NLP Intern

2023-06-01 00:00:00 - 2023-08-01 00:00:00

Research And Teaching Assistant

2020-07-01 00:00:00 - 2022-08-01 00:00:00

Data Analyst

2019-08-01 00:00:00 - 2020-07-01 00:00:00

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Kai North is a A). Theoretical models of language processing, and B). real-world innovation in AI. My interest in both fields has led me to Natural Language Processing (NLP). It has established my strong research ethic, encouraged my pursuit for a research position and is responsible for my following skills and specializations. Unique Skills: • Python, Java, and R, including NLP and ML libraries: Tensorflow, Pytorch, Huggingface, Scikit-learn, AWS, etc. • Publications in top-tier conferences and journals, such as ACL, NAACL, COLING, ACM Computing Surveys, and more. • Extensive linguistic knowledge: Phonology, Phonetics, Semantics, Syntax, Morphology. • Expertise in ML models for NLP: SVMs, Random Forests, Deep Learning, Transformers, LLMs. • Experience with data visualization and data analysis software and languages: Tableau, SQL. • Created NLP and ML applications via AWS, Agile, Git, Docker and other software engineering practices.