Daryl Kang - Applied NLP Scientist at Teleskope

Daryl Kang

Applied NLP Scientist at Teleskope

New York, New York, United States

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Summary

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Senior

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Top School

Daryl Kang is an Applied NLP Scientist with 11 years of experience building end-to-end NLP and LLM systems, spanning data engineering, model architecture, and training to production. He has driven data-driven productization across media and consumer platforms at Apple, Forbes, Uber, and Paramount, and now applies his expertise to Data Security Posture Management at Teleskope. With an M.S. in Data Science from Columbia and a B.A. in Business Economics from UCLA, he blends rigorous technical modeling with product-minded impact. Comfortable moving models from research into scalable pipelines, he focuses on making language models reliable, auditable, and production-ready. A pragmatic data scientist at heart, he often bridges gaps between research teams and product stakeholders to deliver measurable business outcomes.

11 years of coding experience

8 years of employment as a software developer

Master of Science (M.S.) Data Science, Master of Science (M.S.) Data Science at Columbia University

University of California, Los Angeles

Chinese, Malay, French

Stackoverflow

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Programming languages (1)

Python

Github contributions (5)

darylkang/capstone-goldman-sachs

Oct 2017 - Dec 2017

Contributions:47 commits in 2 months

darylkang/darylkang.github.io

Jul 2015 - Jan 2019

Contributions:14 pushes, 1 branch in 3 years 6 months

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