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aminmsalimi/README.md

Amin Salimi

Cloud & Infrastructure Engineer

Linux · Kubernetes · Cloud · Virtualization · NVIDIA GPU Infrastructure · Automation

👨‍💻 About Me

I work with Linux, cloud, virtualization, Kubernetes, networking, and NVIDIA GPU infrastructure.

Most of my work is hands-on: deploying systems, troubleshooting problems, maintaining infrastructure, and automating repetitive operational tasks.

I’m especially interested in GPU infrastructure, Kubernetes, Linux systems, and tools that make infrastructure easier to operate and troubleshoot.

🛠️ Tech Stack

Linux, Python, Bash, Docker, Kubernetes, AWS and Git

Area Technologies
Systems Linux, Ubuntu, Windows Server, systemd, RAID, LVM
Cloud AWS, EC2, IAM
Containers Docker, Kubernetes, K3s, Rancher
Virtualization Proxmox, VMware, OpenStack, OpenNebula
GPU Infrastructure NVIDIA GPUs, CUDA, MIG, NVML, DCGM, GPU passthrough
Automation Python, Bash, Git, YAML
Networking & Edge TCP/IP, VLANs, 5G, edge systems, QoS, latency testing
Hardware Dell PowerEdge, HPE servers, GPU servers, storage systems

🚀 Featured Projects

🟢 MIGOps

A Linux CLI for managing and troubleshooting NVIDIA Multi-Instance GPU (MIG) environments.

It helps inspect GPU/MIG state, understand available profiles, plan allocations, validate configurations, and perform common lifecycle operations more safely.

Python · Linux · NVIDIA MIG

🩺 GPUNodeDiag

A Linux CLI for diagnosing NVIDIA GPU nodes.

gdiag checks the GPU stack step by step, including GPU telemetry, PCIe, ECC/Xid errors, NVLink, Fabric Manager, DCGM, CUDA/driver compatibility, containers, and Kubernetes GPU resources.

Python · DCGM · NVLink · CUDA · Kubernetes

🧪 Other Work

I also work on infrastructure labs and automation around:

  • Kubernetes deployment and troubleshooting
  • Linux server administration and health checks
  • RAID, LVM, storage, and system recovery
  • Cloud and virtualization operations
  • GPU server configuration and validation
  • Networking, edge, 5G, latency, and QoS testing
  • Python and Bash automation for operational tasks

🏅 Certifications

NVIDIA Certified Associate

AI Infrastructure & Operations

VMware Certified Professional

Data Center Virtualization 2022

🎯 Current Focus

GPU & AI Infrastructure · Kubernetes · Linux · Cloud & Platform Engineering · Infrastructure Automation

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