Suyoun Kim

AGI | Multimodal LLMs | Audio Foundation Models

Role: Senior Applied Scientist at Amazon
Location: Seattle, WA, US
LinkedIn followers: 500 followers

EngineeringView LinkedIn profile

Experience

Senior Applied Scientist
Amazon
May 2025 — Present
AGI, Multimodal LLMs, Audio Foundation Models

Education

Korea University
Master's degree
2010 — 2011
Carnegie Mellon University
Master of Science (MS)
2012 — 2014
Georgia Institute of Technology
MS
2010 — 2011
Carnegie Mellon University
Doctor of Philosophy (PhD)
2014 — 2019
Konkuk University
Bachelor's degree
2001 — 2005

Skills

Debugging
C
Java
Machine Learning
C++
Software Development
Python
Computational Biology
Computer Science
Embedded Linux
Speech Recognition
Algorithms
Perl
Embedded Systems
Uima
C/C++ Stl
Device Drivers
Embedded Software
Deep Neural Network
R
Sphinx
Signal Processing
Cas
Computational Linguistics
Set Top Box
Natural Language Processing
Software Engineering
Transfer Learning
Bioinformatics
Matlab
Drug Repositioning
Weka
Protein-Protein Interactions
Deep Learning
Acoustic Modeling

Contact information

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Work email
•••••@amazon.com
Personal email
•••••@•••••.com
Direct dial
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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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Experience

Senior Applied Scientist

Education

Korea University

Carnegie Mellon University

Georgia Institute of Technology

Carnegie Mellon University

Konkuk University

Skills

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