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dafu-wu/README.md

πŸš€ AI Infrastructure Engineer | Building Scalable Systems for Large Models

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Github

πŸ‘‹ About Me

I am an AI Infrastructure Engineer focused on building scalable systems for large-scale model training and inference.

My work centers around GPU clusters, distributed training, and cloud-native AI platforms, helping accelerate the development and deployment of LLMs and AI systems.

⚑ Focus Areas

  • Large-scale LLM Training Infrastructure
  • GPU Cluster Scheduling
  • Kubernetes Native AI Platforms
  • Distributed Systems for AI workloads

πŸ›  Tech Stack

Languages

AI / Cloud Infrastructure

  • Kubernetes
  • GPU Scheduling
  • Distributed Training
  • Cloud Native Infrastructure

🌱 Open Source Contributions

I actively contribute to open source projects in AI infrastructure and cloud-native ecosystems.

  • ⚑ Volcano – Kubernetes batch scheduler for AI/HPC workloads
  • ⚑ Kubeflow – Machine learning platform on Kubernetes
  • ⚑ AReaL – Distributed RL infrastructure for large models
  • ⚑ OpenKruise – Advanced workload management for Kubernetes
  • ⚑ Skywalking Python Agent

πŸ“š Interests

  • Distributed Systems
  • LLM Infrastructure
  • Reinforcement Learning Systems
  • Cloud Native AI Platforms

⚑ Fun Facts

πŸ€ Basketball lover
πŸ“– Enjoy writing technical articles
πŸ’‘ Think Twice, Code Once


πŸ“Š GitHub Stats

github stats

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  1. AReaL AReaL Public

    Forked from inclusionAI/AReaL

    Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.

    Python

  2. volcano-sh/volcano volcano-sh/volcano Public

    A Cloud Native Batch System (Project under CNCF)

    Go 5.4k 1.3k

  3. NVIDIA-NeMo/RL NVIDIA-NeMo/RL Public

    Scalable toolkit for efficient model reinforcement

    Python 1.4k 284