Hello There 👋

• 😊 I'm Yilong Li
• 🎓 Master's Candidate in Computer Science at Beihang University (2023-2026)
• 🔬 I'm part of RAIDS Lab advised by Prof. Tianyu Wo and Assoc. Prof. Renyu Yang
• 🌱 Focused on Distributed Systems & Deep Learning Scheduling
• ☁️ Cloud Native enthusiast with production experience in large-scale systems

Current Focus 🔭

• Designing network topology-aware scheduling strategies for LLM training
• Optimizing cross-cluster model inference scheduling
• GPU resource fragmentation reduction in Kubernetes environments
• Developing observability solutions for AI workloads

Technical Proficiencies 💻

Core Expertise

| Domain | Technologies & Concepts | |--------------------|--------------------------------------------------| | Cloud Native | K8s (Volcano/Koordinator), Karmada, Fluid | | AI Systems | vLLM, Kubeflow, GPU Sharing (MIG/MPS), DCGM | | Observability | PromQL, Grafana |

Contact 📫