Cameron Gibson

Principle AI Strategist

Tampa, Florida, United States
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Summary

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Rockstar
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Top School
Cameron Gibson is a Principal AI Strategist with 12 years of experience designing and scaling AI programs that have driven tens of millions in revenue for enterprise clients. He blends deep computational linguistics research (PhD-level) with hands-on ML engineering, having built language models, ETL pipelines, federated training workflows, and dialogue systems for organizations like Google, Meta, and academic projects at Princeton and CUNY. Cameron has a strong track record leading large cross-functional teams—growing prompt engineering and linguistics groups from single digits to 30+ contributors—and translating research into production-ready systems and governance. He contributes to open-source quality assurance for widely used JavaScript statistical tooling, reflecting an attention to numerical correctness and test automation. Based in Tampa, he pairs an unexpected background in creative writing and linguistics with enterprise AI strategy, giving him an unusual edge in designing robust, ethical language and voice technologies.
code12 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD Computational Linguistics, Doctor of Philosophy - PhD Computational Linguistics at The Graduate Center, City University of New York
bookMaster of Arts - MA Computational Linguistics, Master of Arts - MA Computational Linguistics at The City University of New York
bookBachelor of Science English Language and Literature General, Bachelor of Science English Language and Literature General at Jacksonville University
bookMaster of Arts - MA Linguistics, Master of Arts - MA Linguistics at University of Nevada, Reno
bookMaster of Fine Arts (MFA) Creative Writing, Master of Fine Arts (MFA) Creative Writing at University of Southern Maine
languagesEnglish
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Stackoverflow

Stats
26reputation
1kreached
2answers
0questions
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Github Skills (10)

automated-tests10
javascript10
distributions9
linear-algebra9
heroku6
apt-get6
nginx6
proxy6
ruby6
ruby-on-rails6

Programming languages (8)

TypeScriptYaccSCSSJavaScriptHTMLRubyPythonGLSL

Github contributions (5)

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jstat/jstat

Mar 2014 - Sep 2017

JavaScript Statistical Library
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:33 commits, 24 PRs, 14 pushes in 3 years 6 months
Contributions summary:Cameron primarily contributed to the project by adding and refining automated tests, with a focus on verifying the functionality of statistical functions. They wrote tests for binomial, Student's t, and Chi-Square distributions, as well as tests for various linear algebra functions, including norms, angles, and dot products. In addition, they addressed and fixed existing bugs related to inverse methods and provided critical updates to tests.
javascriptstatistical
jamescgibson/jstat

Jan 2015 - Sep 2017

JavaScript Statistical Library
Contributions:23 pushes, 20 branches in 2 years 9 months
jsjavascriptstatistical
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