Chanwoong Joo
AI Software Engineer at SK Telecom
Gyeonggi, South Korea
Summary
🤩
Rockstar🎓
Top SchoolChanwoong Joo is an AI software engineer with nine years of experience building conversational AI and dialog systems, currently advancing AICC dialogue research and development at SK Telecom. He previously contributed to Clova's dialog system at NAVER, bringing strong hands-on expertise in reinforcement learning and natural language processing. His background combines academic IT foundations from 전북대학교 with practical deep learning research experience from an early internship at J.MARPLE. Chanwoong also applies AI skills to trading domains like stocks and cryptocurrency, reflecting a quantitative bent beyond pure NLP. Known for moving research into production-grade contact center solutions, he blends experimental rigor with a focus on deployable, user-facing systems.
9 years of coding experience
5 years of employment as a software developer
학사, Information Technology, 학사, Information Technology at 전북대학교
Github Skills (30)
deep-q-network10
proximal-policy-optimization9
actor-critic9
deep-reinforcement-learning8
dqn8
reinforcement-learning8
pytorch8
replay8
weighted7
openai-gym7
q-learning6
nes6
deep-learning6
machine-learning6
regression4
Programming languages (3)
Github contributions (5)
jcwleo/curiosity-driven-exploration-pytorch
Nov 2018 - Apr 2020
Curiosity-driven Exploration by Self-supervised Prediction
Contributions:7 commits, 2 PRs, 13 pushes in 1 year 5 months
advantage-actor-criticcuriosity-drivenicmproximal-policy-optimizationpytorch
rlcode/per
Jan 2018 - Feb 2020
Prioritized Experience Replay (PER) implementation in PyTorch
Contributions:12 commits, 4 PRs, 5 pushes in 2 years
pytorchexperience-replayreplayprioritized-experience-replay
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