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Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: Quickdraw

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novis10813/README.md

Hi, I'm Chih-Chung Chang

Machine Learning Engineer with a background in finance, data science, and LLM-based financial applications.

I work on financial machine learning, LLM applications, reinforcement learning, data pipelines, and Linux-based deployment.

Focus Areas

  • Financial ML and quantitative research
  • LLM-based financial event analysis
  • Reinforcement learning for portfolio optimization
  • Data pipelines and backend systems
  • Docker/Linux-based self-hosted services

Tech Stack

Python · PyTorch · scikit-learn · FastAPI · PostgreSQL · Redis · Docker · Linux

Selected Projects

  • RL Portfolio Optimization Environment
  • Real-Time Crypto Liquidity Monitoring Dashboard
  • Event-Driven Trading / Financial Data Pipeline

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  1. RL-PortfolioOptimization-Env RL-PortfolioOptimization-Env Public

    Gymnasium-compatible portfolio optimization environment for reinforcement learning research.

  2. Portfolio-Optimizer Portfolio-Optimizer Public

    Reinforcement learning portfolio optimizer with TD3, DDPG, and EIIE-style agents.

    Python 3

  3. factorium factorium Public

    Polars-first factor research and backtesting toolkit for quantitative finance.

    Python 4

  4. FuzzyTorch FuzzyTorch Public

    PyTorch implementation of a fuzzy neural network for regression experiments.

    Jupyter Notebook

  5. Dino-Run-with-Rainbow-DQN Dino-Run-with-Rainbow-DQN Public

    Chrome Dino reinforcement learning project comparing DQN variants up to Rainbow DQN.

    Jupyter Notebook