- AI Infrastructure: Learning LLM serving systems, with a recent focus on vLLM, SGLang, and inference acceleration.
- Graduation Project: Researching agent-based scheduling and multi-agent collaboration for space-lab scenarios.
- Career: Preparing for internships in AI Infra, LLM Systems, and high-performance computing.
- Languages: Java, Go, Python, C/C++
- AI Infra: LLM Serving, Continuous Batching, KV Cache, Quantization, Inference Optimization
- AI/ML: Large Language Models, Multi-Agent Systems, Recommendation Systems
- Other: Scientific Computing, Distributed Systems