AI Researcher & Developer 👨💻
Exploring AI Agents 🤖 & Reinforcement Learning 🎮, Building Intelligent Systems with Code 💻
🤖 I'm a sophomore at Henan University of Economics and Law (HUEL), specializing in AI research and development. As a member of the Chinese Association for Artificial Intelligence (CAAI), I focus on building intelligent systems through cutting-edge technologies.
🧠 My core research interests include LLM-based Agent development, deep learning and reinforcement learning, game AI, and CPython internal mechanisms. I'm proficient in Python, C, C++, and various AI frameworks like PyTorch, LangChain, and Unity ML-Agents.
💻 I'm passionate about open-source development and have been actively contributing to AI-related projects on GitHub. I aim to bridge the gap between theoretical research and practical applications in the field of artificial intelligence.
End-to-end Agent construction, task planning, multi-agent collaboration, and prompt engineering optimization. 🤝
Algorithm implementation, model training/compression/deployment, AutoML efficiency optimization, and reinforcement learning practice. 🚀
Virtual environment agent development, behavior decision optimization, and reinforcement learning applications in game scenarios. 🎯
CPython runtime mechanisms, bytecode analysis, memory management, and low-level extension development. ⚙️
Paddle Framework
Forked from PaddlePaddle/Paddle - PArallel Distributed Deep LEarning Framework from Industrial Practice
Veo Programming Language
The Veo programming language - A modern programming language designed for simplicity and performance
Personal Repository
Main GitHub repository for Ricardo-shuo-liu
Paddle Documentation
Forked from PaddlePaddle/docs - Documentation for PaddlePaddle deep learning framework
Started learning computer science in 2024, focusing on artificial intelligence, machine learning, and software development fundamentals.
Started contributing to open-source projects on GitHub in 2025, focusing on deep learning frameworks and programming languages.