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
4 years 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
Bachelor's degree Mathematics, Bachelor's degree Mathematics at EPFL
Master's degree Computer Science, Master's degree Computer Science at Columbia University
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