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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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@volcano-sh @raids-lab

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MondayCha/README.md

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

MondayCha's GitHub stats

Technical Proficiencies 💻

skillicons skillicons

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 📫

Email Blog

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  1. raids-lab/crater Public

    Crater is a cloud-native AI platform.

    MDX 38 7

  2. kubernetes-sigs/kwok Public

    Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters.

    Go 2.9k 227

  3. volcano-sh/volcano Public

    A Cloud Native Batch System (Project under CNCF)

    Go 4.9k 1.2k

  4. volcano-sh/volcano-global Public

    A federation scheduler for multi-cluster

    Go 48 17

  5. ceph/ceph-csi Public

    CSI driver for Ceph

    Go 1.4k 581

  6. vllm-project/aibrix Public

    Cost-efficient and pluggable Infrastructure components for GenAI inference

    Go 4k 410