SUNGJIN LEE

CEO

Seoul, South Korea20 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

Expert in conversational AI and statistical dialog modeling.
Led projects achieving state-of-the-art performance in dialog systems.
Extensive experience in machine learning and natural language processing.

Stackforce AI infers this person is a leader in AI and machine learning, specializing in conversational technologies.

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Skills

Other Skills

Machine LearningNatural Language ProcessingComputer ScienceArtificial IntelligenceSpoken Dialog SystemLaTeXSpeech RecognitionResearchSimulationPythonCHuman-computer InteractionC++JavaMatlab

About

● Conversational agents, statistical dialog state tracking, dialog policy learning, user simulation, natural language understanding ● Contextualized user model, personalized content / advertisement ranking by online learning, reinforcement learning, deep neural networks ● Applications of speech and text processing, multilingual entity recognition and linking, active learning pipeline for document understanding models

Experience

20 yrs 7 mos

Total Experience

3 yrs 2 mos

Average Tenure

1 yr 9 mos

Current Experience

Samsung electronics

2 roles

Executive Vice President

Promoted

Nov 2025 – Present · 6 mos

Vice President

Aug 2024 – Nov 2025 · 1 yr 3 mos

Amazon

Principal Machine Learning Scientist

Jul 2019 – Mar 2025 · 5 yrs 8 mos · Greater Seattle Area

We are creating groundbreaking technologies to advance conversational AI to the limit by autonomously learning at scale from a sheer volume of interactions with a huge number of active real users across all domains. Ping me if you are interested in joining on this journey!

Microsoft

Principal Researcher

Jan 2017 – Jul 2019 · 2 yrs 6 mos · United States

Yahoo

Research Scientist

Sep 2014 – Dec 2016 · 2 yrs 3 mos · New York, New York

Carnegie mellon university

2 roles

Postdoctoral Associate

Jul 2012 – Aug 2014 · 2 yrs 1 mo

My research interests lie in various areas of speech and language processing as well as machine learning. I am currently a postdoc research fellow in Language Technologies Institute at Carnegie Mellon University. I am primarily working on statistical dialog modeling including dialog state tracking and dialog strategy learning. I have developed dialog state tracking systems which achieved state-of-the-art performance on average in Dialog State Tracking Challenge 2013. I have also developed a rapid sparse Bayesian reinforcement learning algorithm for online dialog strategy optimization through interactions with real users. I am also interested in applying spoken language technologies to computer-assisted language learning settings.
Research Activities:
Dialog State Tracking Challenge (DSTC), Advisory Committee
The REAL Challenge, Scientific Committee
SIGDIAL, Program Committee
ACL, Program Committee
Interspeech, Program Committee
IJCNLP, Program Committee