mirhyderali — bash — 80×24
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ACCESS GRANTED

Hi, I'm

Mir Hyder Ali

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Building the infrastructure that powers tomorrow's AI — from bare metal to Kubernetes, one GPU cluster at a time.

View My Work Get in Touch
engineer.py 
class Engineer:
  name  = "Mir Hyder Ali"
  role  = "AI HPC Infrastructure"
  stack = ["GB200", "H100",
           "Kubernetes", "Slurm"]
  based = "Irving, TX"
  open  = True

print("Let's build something!")

About Me

Mir Hyder Ali

I'm an AI HPC Infrastructure Engineer with 3+ years of experience deploying and managing large-scale GPU compute clusters for enterprise AI clients. I specialize in NVIDIA Blackwell (GB200 NVL72) and Hopper (H100) systems, InfiniBand fabric, and Kubernetes-based AI workloads.

Based in Irving, Texas. Currently building bleeding-edge AI infrastructure at Wistron. I hold an M.S. in Computer Science from Lewis University (2025) and am passionate about bridging advanced hardware with intelligent software automation.

3+Years Experience
100+GPU Nodes Deployed
M.S.Computer Science
Email Me LinkedIn

My Skills

🖥️

HPC & Compute

  • NVIDIA GB200 / H100
  • Kubernetes & Slurm
  • InfiniBand HDR/NDR
  • NVMe Storage Arrays
☁️

Cloud & DevOps

  • AWS & Azure
  • Docker & Terraform
  • Prometheus / Grafana
  • CI/CD Pipelines
⚙️

Systems & Network

  • Linux (RHEL / Ubuntu)
  • IPMI / iDRAC / BMC
  • Bash & PowerShell
  • NVLink Fabric
🤖

Software & AI

  • Python Automation
  • REST APIs & Git
  • AI/ML Infrastructure
  • Research & Analysis

Work Experience

AI HPC Infrastructure Lead Engineer

Wistron Corporation
May 2023 – Present Irving, TX
  • Deploy and commission NVIDIA GB200 NVL72 and H100 GPU clusters for Fortune 500 AI clients, managing full rack-to-rack lifecycle from bare-metal provisioning to OS imaging.
  • Configure and validate InfiniBand HDR/NDR fabric, NVLink topology, and NVMe-oF storage arrays to meet AI training performance SLAs.
  • Automate cluster health monitoring, GPU utilization dashboards, and failure alerting with Python, Bash, Prometheus, and Grafana.
  • Coordinate with NVIDIA field engineers on firmware, driver, and OFED stack qualification for production AI workloads.
NVIDIA GB200KubernetesSlurmInfiniBandPythonLinux

IT Graduate Assistant

Lewis University
Jan 2023 – May 2023 Romeoville, IL
  • Administered campus network infrastructure including Windows Server, Active Directory, and VMware virtualisation environments.
  • Provided Tier 2 technical support for faculty and students; resolved hardware, software, and network issues.
Windows ServerActive DirectoryVMwareNetworking

Education

M.S. Computer Science Lewis University Dec 2023 – May 2025 · Romeoville, IL
B.E. Computer Science Lords Institute of Engineering & Technology 2019 – 2022 · Hyderabad, India

Published Research

Published · Springer ITNG 2025 · pp. 433–444

The Use of GenAI in Graph-Based Unit Testing

Abubakr S. Masood  ·  Mir H. Ali  ·  Mohammed W. Amair  ·  Ziad A. Al-Sharif  ·  Safwan Omari

Source Code Functions & Classes
AST / CFG
Graph Model Call & Control-Flow
Prompt
GenAI / LLM Context-Aware Generation
Output
Unit Tests High Path Coverage

This paper explores using Generative AI to augment graph-based unit test generation. Source code is parsed into call graphs and control-flow graphs, encoding structural relationships between functions and execution paths. These graphs provide rich contextual prompts to a large language model, enabling it to generate unit tests that exercise deeper execution paths — achieving higher structural coverage than conventional auto-generated tests.

2025Published
5Co-Authors
12 ppPages
SpringerPublisher
View Published Paper Masood, A.S., Ali, M.H., et al. The Use of GenAI in Graph-Based Unit Testing. ITNG 2025, Springer.

Beyond The Screen

Gaming & Tech Enthusiast

When I'm not pushing commits or deploying GPU clusters, I'm deep in a gaming session or obsessing over the perfect desk setup. I treat my rig with the same attention to detail as my infrastructure — every RGB strip calibrated, every cable routed.

Currently obsessed with: PC building, FPS games, and chasing that perfect refresh-rate feeling.

⚡ PC Gaming 🖥️ Setup Building 🎮 FPS Games 🔧 Hardware
terminal — hint

$ there's a classified file hidden on this site

$ type sudo anywhere to access it

# login: the name you already know

My Projects

🔬
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Generative AI for Software Testing

Co-authored research paper exploring LLM-based automated test case generation. Evaluated GPT-4 and CodeLlama on real-world codebases, achieving 78% valid test coverage with minimal human input.

PythonOpenAI APILangChainResearch
📊
</>

HPC Cluster Health Monitor

Real-time dashboard tracking GPU utilization, temperature, InfiniBand link health, and job queues across 100+ nodes. Reduced mean-time-to-detect hardware failures from hours to minutes.

PythonPrometheusGrafanaBash
🌐
</>

Portfolio 2026

This site — built from scratch with vanilla HTML, CSS, and JS. Features a WebGL-inspired aurora canvas background, glassmorphism design system, SVG handwriting intro, and 3D animated gaming room scene.

HTMLCSSJavaScriptCanvas API
See All on GitHub

Get In Touch

Have a project in mind or want to talk AI infrastructure? My inbox is always open.

Mir Hyder Ali
Mir Hyder Ali AI HPC Infrastructure Lead Engineer Wistron · Irving, TX
View Profile
 Download Resume
📧 mirhyderali619@gmail.com
💻 github.com/Hyderali1351
📸 @zaid_hyder.ali
📍 Irving, Texas

secure_vault — classified — [ESC to abort]
$