02 / A LITTLE CONTEXT
I'm a student at Beihang University, currently interning at Z.ai. I work on AI systems, autonomous agents, and privacy-preserving machine learning, exploring the engineering that connects models to working systems.
My work spans planning and tool use for LLM agents, vision-language robotic manipulation, reinforcement learning for robot control, and fully homomorphic encryption for private inference.
- Memory & context — Persistent learning and contextual reasoning across sessions.
- Agent collaboration — Planning, coordination, and scalable multi-agent workflows.
- Evolution & adaptation — Self-improvement, feedback, and autonomous adaptation.
Python TypeScript C C++
Notes on AI systems, autonomous agents, and privacy-preserving computing. Read the notebook ↗