Katie Kim - Machine Learning Engineer at Bloomberg

Katie Kim

Machine Learning Engineer at Bloomberg

New York, New York, United States

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Summary

👤

Senior

🎓

Top School

Katie Kim is a Machine Learning Engineer at Bloomberg with 11 years of technical experience and a strong foundation in mathematics and computer science from EPFL and Columbia. She focuses on conversational AI, bringing prior ML and quantitative experience from internships and short-term roles including Worthix, Caerus Commodities, and a Bloomberg software engineering internship. Katie blends rigorous academic training with practical product-facing ML work, having also held leadership experience as VP of the Engineering Graduate Student Council at Columbia. Based in New York, she pairs a quantitative mindset with real-world deployment experience, and her background suggests an aptitude for bridging research-grade models to production systems in fast-paced financial and media environments.

11 years of coding experience

1 year of employment as a software developer

International Baccalaureate, International Baccalaureate at Collège du Léman - International School

Academic exchange, Mathematics, Academic exchange, Mathematics at Georgia Institute of Technology

Master's degree, Computer Science, Master's degree, Computer Science at Columbia University in the City of New York

Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at EPFL (École polytechnique fédérale de Lausanne)

English, French, Korean

Github Skills (13)

radiology4

nlp3

natural-language-processing3

r-package3

interaction2

voice-assistant1

google-home1

voice-commands1

alice1

google-assistant1

voice-control1

voice1

alexa-skills-kit1

Programming languages (3)

CJavaScriptPython

Github contributions (5)

kl2532/LifePlanner

Mar 2015 - May 2015

Contributions:62 pushes, 1 branch in 1 month

kl2532/places-collection

Sep 2015 - Oct 2015

Contributions:33 pushes, 1 branch in 1 month

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