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kenny1031/README.md

Hi, I'm Kenny 👋

CS & Financial Maths @ USYD | ML | Backend | Data
Building end-to-end ML systems + Computer Vision (YOLO).

🚀 Featured Projects

  • airbnb-price-service — Production-style ML serving: model versioning, API, tests, and deploy-ready structure
    Tech: Python, SQL, Docker, FastAPI (if applicable)
  • regime-aware-dynamic-asset-allocation — Multi-model quant research pipeline for market regime detection and dynamic asset allocation, combining HMM/GMM/KMeans, XGBoost, LSTM, walk-forward backtesting, and a PPO reinforcement learning prototype
    Tech: Python, pandas, scikit-learn, PyTorch, XGBoost, Stable-Baselines3
  • Helmet detection (YOLOv8) — Data preprocessing + training/evaluation + inference pipeline (FiftyOne + FastAPI + pytest)

🧰 Tech Stack

ML/CV: Python, PyTorch, FiftyOne
Backend/Data: SQL, Docker, Git
Also used: C, Java, R

📌 What I'm focusing on now

  • Working on a LLM-powered full-stack system.

📫 Contact

Pinned Loading

  1. Checkers Checkers Public

    Java

  2. airbnb-price-service airbnb-price-service Public

    A production-ready ML serving system with version-controlled model management and testable backend architecture.

    Python

  3. cv-helmet-detection-system cv-helmet-detection-system Public

    Python

  4. regime-aware-dynamic-asset-allocation regime-aware-dynamic-asset-allocation Public

    Multi-model framework for market regime detection and dynamic asset allocation using HMM, XGBoost, LSTM, backtesting, and RL.

    Python

  5. Adaptive-Vision-Model-Promotion-System Adaptive-Vision-Model-Promotion-System Public

    Python