class Sean: def __init__(self): self.name = "Sean" self.education = "M.S. in Control Engineering @ BUAA" self.languages = ["zh_CN", "en_US"] self.expertise = { "AI/ML": ["Deep Learning", "Reinforcement Learning", "Computer Vision"], "Domains": ["Autonomous Driving", "Embodied AI", "Edge Computing"], "Engineering": ["High-Performance Computing", "GPU Acceleration", "SDK Architecture"] } def current_interests(self): return ["Embodied Intelligence", "LLM Applications", "Robotics"] me = Sean() print(f"Building intelligent systems that bridge AI and the physical world.")
- ๐ M.S. in Control Engineering @ Beihang University
- ๐ Published SCI paper on Reinforcement Learning
- ๐ญ Working on Embodied AI & Robotics
- ๐ Passionate about Performance Optimization
- ๐ก Open to collaboration on AI/Robotics projects
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PyTorch TensorFlow OpenCV ONNX
