amin@infra:~$ whoami

Amin Salimi

AI Infrastructure & Systems Engineer

AI infrastructure, system administration, virtualization, cloud, AWS, NVIDIA GPU infrastructure, Linux, Kubernetes, and automation.

employment://current active
ROLEResearch Associate
ORGFachhochschule Dortmund
LOCATIONGermany
node://amin● healthy
Amin Salimi
gpu.stackready
k8s.controlready
linux.opsactive
automationpython/bash
01 / PROJECTS

Operator tooling.

Public tools built around NVIDIA GPU infrastructure and day-to-day operations.

● publicmig / lifecycle

MIGOps

Safe NVIDIA MIG operations with workload-aware checks, profile discovery, planning, snapshots, drift detection, and dry-run/apply workflows.

$ migops status
$ migops recommend gpu 0 4
$ sudo migops split gpu 0 4 --yes
open repository ↗
● publicgpu / diagnostics

GPUNodeDiag

GPU node diagnostics across telemetry, PCIe, ECC/Xid, NVLink, Fabric Manager, DCGM, CUDA, containers, MIG, and Kubernetes GPU resources.

$ gdiag
$ gdiag stack
$ gdiag report -o gpu-report.html
open repository ↗
02 / SKILLS

Core skills.

My main areas of hands-on infrastructure work.

AI Infrastructure

AI compute platforms, GPU servers, cluster infrastructure, deployment, operations and troubleshooting.

System Administration

Linux administration, systemd, services, logs, RAID, LVM, storage, performance and recovery.

Virtualization

VMware vSphere, vCenter, ESXi, Proxmox, virtual machines, GPU passthrough, OpenStack and OpenNebula.

Cloud & AWS

AWS, EC2, IAM, cloud infrastructure, access control and compute operations.

NVIDIA GPU Infrastructure

NVIDIA GPUs, CUDA, MIG, NVML, DCGM, Fabric Manager, drivers and GPU diagnostics.

Linux

Ubuntu, server administration, shell, networking, storage, troubleshooting and automation.

Kubernetes & Containers

Kubernetes, K3s, Docker, Rancher, workloads, GPU resources and cluster operations.

Infrastructure Automation

Terraform, Python, Bash, Git, YAML, scripting and repeatable operational workflows.

Networking & Edge

TCP/IP, VLANs, 5G, QoS, latency testing, connectivity and edge infrastructure.

Enterprise Servers

Dell PowerEdge, HPE servers, GPU hosts, storage, hardware validation and lifecycle operations.

03 / ABOUT

Hands-on infrastructure.

notes.txtread-only

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

My main focus is AI infrastructure, Linux system administration, virtualization, cloud platforms, AWS, and NVIDIA GPU infrastructure, with Kubernetes and automation around those environments.

04 / CERTIFICATIONS

Certifications.

Industry certifications across AI infrastructure, virtualization and cloud.

01
NVIDIA NVIDIA Certified Associate — AI Infrastructure and Operations

February 2026

CERTIFIED
02
MICROSOFT Microsoft Certified: Azure Fundamentals (AZ-900)

February 2023

CERTIFIED
03
VMWARE VMware Certified Professional — Data Center Virtualization (VCP-DCV 2022)

October 2022

CERTIFIED
04
CISCO Cisco CCNA and CCNP

September 2019

CERTIFIED
DOCUMENT / CV

A shorter version of the story.

05 / CONTACT

amin@infra:~$ connect_