Hyeokryeol Yang
Quantitative Researcher
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolHyeokryeol Yang is a quantitative researcher based in Seoul with 10 years of experience applying deep learning and reinforcement learning to algorithmic trading across Korean markets. Currently at Sindbad AI, he bridges research and production-level systems, bringing prior software engineering experience from THORDRIVE and AI internships at NAVER and Seoul National University. He holds an MPhil in Computer Science and Engineering from HKUST and a BS in Business & Computer Science from Hanyang University, a combination that informs both model design and practical deployment. An active contributor to RL teaching code, he has implemented and refactored DQN, Monte Carlo, SARSA, and policy gradient examples, highlighting a hands-on, minimal-and-clean approach to reinforcement learning. Colleagues find him adept at turning complex RL concepts into readable, testable code and trading strategies.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Business & Computer Science, Bachelor of Science - BS, Business & Computer Science at 한양대학교Hong Kong University of Science and Technology (HKUST)
Github Skills (9)
deep-reinforcement-learning10
dqn10
reinforcement-learning10
python9
machine-learning9
keras8
numpy8
tensorflow8
actor-critic6
Programming languages (8)
Github contributions (5)
rlcode/reinforcement-learning
Apr 2017 - Jul 2017
Minimal and Clean Reinforcement Learning Examples
Role in this project:
ML Engineer
ML EngineerContributions:36 commits, 3 PRs, 21 pushes in 2 months
Contributions summary:Hyeokryeol primarily contributed to reinforcement learning examples, focusing on the implementation and modification of various RL algorithms within a Grid World environment. Their commits include changes related to DQN, Monte-Carlo, SARSA, and Policy Gradient methods, indicating hands-on experience with different RL approaches. The user also refactored code for better readability and functionality.
a3cactor-criticdeep-learningreinforcement-learningdeep-reinforcement-learning
Hyeokreal/hyeokreal.github.io
Jul 2016 - Aug 2019
Contributions:14 pushes, 1 branch in 3 years 1 month
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