Taylor Shin

Applied Scientist at Amazon

Irvine, California, United States
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Summary

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Senior
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Top School
Taylor Shin is an Applied Scientist with 11 years of experience building and deploying machine learning and AI systems across industry and academia, currently focused on sensitive content intelligence for Alexa at Amazon. With an MS in CS (AI & ML) from UC Irvine, Taylor has authored EMNLP research on probing NLP models and created gradient-based trigger search methods that improved factual knowledge extraction. He has production experience training and distilling Transformer models (including an 86% parameter reduction for GPT-2 parity on paraphrasing) and deploying ML services on AWS and Docker. Earlier roles span computer vision for biomedical imaging, music-generation research, and full-stack engineering for high-profile web launches like Overwatch League. Known for turning research ideas into production prototypes, he combines rigorous experimentation with practical system design and a knack for squeezing model efficiency without sacrificing accuracy.
code10 years of coding experience
job5 years of employment as a software developer
bookUniversity of California San Diego
bookUniversity of California, Irvine
languagesEnglish, Korean
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Stackoverflow

Stats
39reputation
8kreached
4answers
0questions
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Github Skills (43)

music-generation10
python10
evaluation10
data-science10
machine-learning10
prompt10
deep-learning10
tensorflow10
neural-network10
nlp10
ml9
natural-language-processing9
deep-neural-networks9
music9
language-model8

Programming languages (5)

C++JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Personal Website
Contributions:2 PRs, 34 pushes, 4 branches in 5 years 5 months
react
Contributions:34 PRs, 36 pushes in 3 years 3 months
typescriptweb-applicationgame
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Taylor Shin - Applied Scientist at Amazon