🔷 Role: Machine Learning Engineer | Quant Engineer

🌐 Company: Hired by David Park | https://www.sec.gov/Archives/edgar/data/1856769/000185676921000001/xslFormDX01/primary_doc.xml

📅 Duration: [~2020]

Engineered a real-time algorithmic trading system powered by deep learning models that autonomously executes profitable trades based on market patterns and technical indicators.

🚀 Core Contributions

🧠 AI-Powered Trading System

• LSTM-Based Prediction Engine: Designed neural networks to forecast price movements and market trends
• Adaptive Strategy Framework: Developed a modular system that dynamically adjusts to changing market conditions
• Pattern Recognition: Implemented algorithms to identify profitable trading opportunities across multiple assets
• Backtesting Framework: Created comprehensive simulation environment for strategy validation and optimization

⚡ High-Performance Trading Infrastructure

• Multithreaded Architecture: Built a scalable system optimized for high-frequency trading workloads
• Real-time Data Pipeline: Engineered efficient data ingestion system for live market data processing
• Low-latency Execution: Optimized trade execution to minimize slippage and maximize profit potential
• Automated Scheduling: Implemented cron-based automation for continuous operation and maintenance

📊 Quantitative Analysis & Feature Engineering

• Technical Indicators: Custom-built MACD, RSI, and PVT indicators from scratch for model inputs