I build intelligent software, develop machine learning solutions, and design quantitative trading systems powered by data, statistics, and automation.
My work focuses on combining software engineering, artificial intelligence, and quantitative finance to create practical and scalable solutions.
Backend systems, web applications, cloud deployment, and scalable architecture.
Machine learning, deep learning, LLM applications, AI agents, and intelligent automation.
Researching trading strategies, statistical models, portfolio optimization, and algorithmic execution.
QQ Agent is an AI-powered automated trading platform that combines quantitative analysis, machine learning, and algorithmic execution to identify trading opportunities and execute strategies automatically.
Real-time market data collection from multiple exchanges, historical data processing, and data quality validation for accurate analysis.
Machine learning model development, feature engineering, hyperparameter optimization, and model validation using advanced algorithms.
Portfolio risk assessment, position sizing, stop-loss strategies, and real-time risk monitoring to protect capital.
Automated order execution, smart routing, slippage control, and performance optimization for optimal trade execution.
Real-time performance tracking, metric visualization, backtesting capabilities, and strategy optimization tools.
API integration, exchange connectivity, webhook support, and seamless integration with existing trading infrastructure.
Let's connect and collaborate on exciting projects!
Open to collaboration, project inquiries, and research discussions.