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  • University of Pretoria
  • Seoul

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younghwan91/README.md

Younghwan Chae, Ph.D. · 채영환

PhD in Mechanical Engineering  —  Mathematical Optimization  ·  ML & Perception Engineer @ Doosan Robotics
Mathematical optimization is the through-line — numerical optimization, surrogate modeling & state estimation, carried from theory into 3D perception, sensor fusion, and production systems.

LinkedIn Gmail Résumé (PDF)

Bayesian optimization: rotating 3D GP posterior beside μ/σ/α acquisition heatmaps showing the explore–exploit trade-off that picks each next sample

Mathematical Optimization · 3D Perception & Sensor Fusion · Camera · Radar · LiDAR · MLOps · Quantitative Research


🧠 Background

  • 🎓 PhD in Mechanical Engineering, specialized in mathematical optimization — numerical optimization, surrogate modeling, state estimation (all degrees Cum Laude)
  • 🤖 ML & Perception Engineer @ Doosan Robotics (prev. bitsensing) — 3D perception, sensor fusion & robotics AI across camera · radar · LiDAR
  • 🏭 Shipped camera/radar/LiDAR multi-sensor perception to mass production — 200+ deployments across 8 countries, −51% fusion error · 10 patents · 6 peer-reviewed papers
  • 📈 On the side, I build a full open-source quant stack — market-data APIs, a collection pipeline, and backtesting engines
  • 🛰️ Every sensor, every modality — RGB/stereo/structured-light cameras, 4D imaging radar, LiDAR, IMU/GPS, point clouds & RF signals, 3D scans, video, and financial time-series; few data types I haven't shipped with

🔭 Open-source

Market-data APIs feed a collection pipeline into TimescaleDB that the research layer reads — plus a standalone, live-parity crypto engine.

flowchart LR
    subgraph SRC["🔌 Market-data APIs"]
        direction TB
        K[kiwoom-rest-api]
        F[krx-fundamentals-api]
        NW[krx-news-rest-api]
    end
    AF["🗄️ kr-quant-airflow"]
    DB[("TimescaleDB")]
    subgraph RES["🧪 Research"]
        direction TB
        O[opt_portfolio]
        AT[automated-stock-trading-systems]
    end
    K --> AF
    F --> AF
    NW --> AF
    AF --> DB
    DB --> O
    DB --> AT
    CR["₿ quantbox-engine<br/>crypto futures · backtest ↔ live"]
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Project What it is
kiwoom-rest-api Kiwoom Securities REST API wrapper — 207 endpoints + real-time WebSocket
quantbox-engine Crypto futures backtest & execution engine — zero lookahead, backtest↔live parity
kr-quant-airflow Airflow pipeline collecting Korean market data into TimescaleDB
krx-fundamentals-api Korean corporate fundamentals API (DART + KRX + Naver)
opt_portfolio VAA-based tactical asset allocation
automated-stock-trading-systems Backtester for Bensdorp's 7 non-correlated systems

🔒 Also private — equity screeners (Wyckoff accumulation · Minervini + VCP), a statistical-arbitrage crypto engine, and live trading systems. Available on request.

🛠️ Tech

Python C++ PyTorch CUDA TensorRT OpenCV pandas PostgreSQL TimescaleDB Airflow Docker

South African National Mathematics Olympiad — Top 100 nationally, 2nd in state (2010)

Pinned Loading

  1. quantbox-engine quantbox-engine Public

    전략 비종속 암호화폐 선물 백테스트·실행 엔진 — 룩어헤드 0 보장, 백테스트↔실거래 일체화 (실거래 시스템에서 추출한 공개판)

    Python 1

  2. opt_portfolio opt_portfolio Public

    VAA-based Portfolio Management System

    Python 2 1

  3. kiwoom-rest-api kiwoom-rest-api Public

    키움증권 REST API Python 래퍼 (국내주식 207개 엔드포인트 + 실시간 WebSocket)

    Python 7 2

  4. krx-fundamentals-api krx-fundamentals-api Public

    국내 기업 펀더멘탈 데이터 REST API — 재무제표, 투자지표, 배당, 대주주, 종목 스크리닝 (DART + KRX + 네이버)

    Python 1 2