CV
Summary
Quant AI Researcher at Qraft Technologies. M.S. in Artificial Intelligence at Kyung Hee University (2025). Research at the intersection of deep learning and finance — empirical asset pricing, portfolio optimization, and prediction-market microstructure.
Education
- Artificial Intelligence2025-02Kyung Hee UniversityGPA: 4.08 / 4.3
- Software Convergence2023-08Kyung Hee UniversityGPA: 3.527 / 4.3
- 2018-02Daesin High School
Work Experience
- Quant AI Researcher2025-03 -Qraft TechnologiesBuilding deep asset pricing and portfolio optimization systems for AI-driven asset management.
- 청년인턴 · 개인디지털채널부2023-01 - 2023-02IBK 기업은행슈퍼 앱 UI/UX 리서치
Skills
Deep Learning
- PyTorch
- TensorFlow
- CNN
- Transformer
- Autoencoder
Quantitative Finance
- Empirical Asset Pricing
- Portfolio Optimization
- Backtesting
- Factor Models
Data Engineering
- pandas
- Polars
- DuckDB
- PostgreSQL
Programming
- Python
- SQL
- Git
- Linux
- Docker
Publications
- Two-Stage Portfolio Optimization Framework Using CNN-Based Stock Chart Analysis2025Kyung Hee University Graduate SchoolM.S. thesis — Two-stage framework combining CNN-based chart image scoring and portfolio-level allocation.
- 딥러닝 네트워크를 활용한 주식 가격 결정 모델2023대한산업공학회 춘계공동학술대회논문집Empirical asset pricing on KOSPI using an autoencoder-style deep factor model (Gu, Kelly, Xiu 2021 framework).
Languages
- KoreanNative
- EnglishProfessional working
Interests
- Quantitative Financeasset pricing, portfolio optimization, factor models, risk management
- Deep Learning for Financereinforcement learning for trading, NLP for sentiment analysis, computer vision on charts
- Alternative Dataprediction markets, financial time series, multimodal data