identity: Lim Tze Chin (Qing)
role: AI Undergraduate
focus_areas:
- Reinforcement Learning (MARL, Policy Gradients)
- Agentic Workflow & Autonomous Systems
- Edge Computer Vision & Deployment
- Explainable AI (SHAP, Permutation Importance)
current_mission: "Developing autonomous agent testing frameworks & high-throughput simulation environments"
core_values: ["Mathematical Rigor", "Production Scalability", "Clean Architecture"]🚀 I'm AI undergraduate passionate about Reinforcement Learning, Computer Vision, and Agentic Engineering.
🔭 I'm currently working on Agentic automated testing workflows & deep reinforcement learning environments
🌱 I'm currently learning Deep Learning optimization, Multi-Agent RL, and Edge CV deployment (ONNX/TensorRT)
👯 I'm looking to collaborate on Open-source AI tooling, autonomous agents, and game simulation frameworks
🛠️ Tech Stack
📈 Contribution Graph
⭐️ From QingLTC