Professional Summary
Experienced reinforcement learning engineer with a strong background in simulation-based optimization, combinatorial problem solving, and decentralized system design. Proven ability to define complex technical problems, implement advanced ML architectures, and deliver scalable AI-driven solutions. Passionate about bridging deep tech with impactful business applications.
Project Work-In-Progress
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Unirec (Pluggable Recommendation Stack) — WIP
- A modular, RL-friendly recommendation framework with swappable components, typed interfaces, and reproducible caching.
- Work in progress on the https://github.com/OnedgeLee/unirec.
Professional Experience
Blockchain Engineer – Planetarium Labs
South Korea, Singapore | Jun 2022 – May 2025
- Maintained and enhanced Libplanet, an open-source blockchain framework.
- Stabilized consensus mechanisms for PBFT.
- Designed and implemented core consensus mechanisms for DPoS.
- Developed VRF based on RFC 9381.
- Developed probabilistic sortition logic based on Algorand paper.
ML Engineer – Spacewalk
South Korea | Nov 2019 – Mar 2022
- Led RL-based architectural design automation project, from parameterization to optimization.
- Designed autoregressive policy, pointer networks, and generalizable agents across dynamic state-action spaces.
- Launched Landbook Premium mobile app: automatic building design in <3 min per parcel.
- Collaborated with product team and architects to continuously evaluate qualitative outcomes.
ML Engineer – Aidentify
South Korea | Sep 2018 – Nov 2019
- Developed RL agent for HVAC system optimization in data centers.
- Combined MDN, Dyna, and modified value function to achieve 30% energy savings in simulation.
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ML service research projects (2018–2019)
- Domain adaptation (ETRI)
- Neural architecture search (ETRI)
- Anomaly Detection (Hyundai Autron)
- Image segmentation (Ministry of Environment)
Supervisor – Hyundai Steel
South Korea | Jul 2017 – Sep 2017
- Full-time Supervisor of Raw Materials Team
- Scrap Inspection and Purchase
- Establishment of scrap input plan
Project Engineer – DL E&C
South Korea | Jan 2014 – Aug 2014
- Full-time Project Engineer of Mechanical Engineering Team at DL E&C
- Scheduling (Manpower mobilization plan, Engineering plan)
- Cost Estimation (Mechanical instruments, Pipes, Manpower)
- Expediting (Mechanical instruments)
Education
Yonsei University, BSc in Mechanical Engineering
2008 – 2014
Technical Skills
Languages: Python, C#
Frameworks: PyTorch, TensorFlow, Pandas, Numpy, Scikit-learn
Domains: Reinforcement Learning, Machine Learning, Probabilistic Modeling, Combinatorial Optimization, Simulation, Distributed Ledger, Open Source
Tools: Git, Docker, Rhino/Grasshopper, EnergyPlus, Unity