CV

Inyeol Choi (최인열)

chldlsel@khu.ac.kr
Seoul, , KR

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 Intelligence
    2025-02
    Kyung Hee University
    GPA: 4.08 / 4.3
  • Software Convergence
    2023-08
    Kyung Hee University
    GPA: 3.527 / 4.3
  • 2018-02
    Daesin High School

Work Experience

  • Quant AI Researcher
    2025-03 -
    Qraft Technologies
    Building deep asset pricing and portfolio optimization systems for AI-driven asset management.
  • 청년인턴 · 개인디지털채널부
    2023-01 - 2023-02
    IBK 기업은행
    슈퍼 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 Analysis
    2025
    Kyung Hee University Graduate School
    M.S. thesis — Two-stage framework combining CNN-based chart image scoring and portfolio-level allocation.
  • 딥러닝 네트워크를 활용한 주식 가격 결정 모델
    2023
    대한산업공학회 춘계공동학술대회논문집
    Empirical asset pricing on KOSPI using an autoencoder-style deep factor model (Gu, Kelly, Xiu 2021 framework).

Languages

  • Korean
    Native
  • English
    Professional working

Interests

  • Quantitative Finance
    asset pricing, portfolio optimization, factor models, risk management
  • Deep Learning for Finance
    reinforcement learning for trading, NLP for sentiment analysis, computer vision on charts
  • Alternative Data
    prediction markets, financial time series, multimodal data