Chanwoong Joo
AI Software Engineer at SK Telecom
Gyeonggi, South Korea
Summary
🤩
Rockstar🎓
Top SchoolChanwoong Joo is an AI Software Engineer with eight years of experience, currently researching and developing AICC conversational systems at SK Telecom after five years as a software engineer at NAVER. He blends production-focused engineering with research interests in reinforcement learning and natural language processing, and often explores how RL and market-modeling ideas from his interest in stock and cryptocurrency trading can inform dialog optimization. Based in Gyeonggi, South Korea, he holds a bachelor’s in Information Technology from Jeonbuk National University and has a track record of shipping scalable conversational features for consumer services. Pragmatic and curious, he focuses on turning advanced ML methods into reliable, deployable 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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