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armghan/README.md

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👨‍💻 About Me

name: Armughan Mehboob Bhutta
role: DevOps · SRE · CloudOps · MLOps Engineer
location: Lahore, Pakistan 🇵🇰
experience: 7+ years
current_focus: [Kubernetes platform ops, GitOps with ArgoCD, DevSecOps, MLOps]
philosophy: "Automate the boring, harden the risky, make deploys boringly predictable."
  • 🔭 Senior DevOps Engineer — most recently at Systems LTD, one of Pakistan's largest software houses
  • 🧱 I build golden paths: IaC everywhere, CI/CD that just works, observability you can act on
  • 🔐 Deep experience with security & compliance controls — HIPAA, SOC 1/2, PCI DSS
  • ☁️ Multi-cloud & on-prem: AWS, Azure, GCP, DigitalOcean, Proxmox, VMware ESXi
  • 🤖 MLOps / AI infrastructure — deployed GPU-accelerated inference & computer-vision workloads (see below)
  • 🤝 I mentor engineers and spread DevOps best practices across teams

📊 Impact I've Delivered

Metric Result
🚀 Manual release effort ~70% reduction via GitOps CI/CD (ArgoCD)
📈 Deployment frequency ~3× increase
⚡ Infra provisioning time ~60% faster with IaC (Terraform)
🛡️ Service downtime ~40% lower with service mesh + HA design

🧰 Tech Stack

☁️ Cloud & Virtualization
AWS Azure GCP DigitalOcean Proxmox VMware

🐳 Containers & Orchestration
Kubernetes Docker Helm Istio OpenShift

🔁 CI/CD & GitOps
GitHub Actions GitLab CI Azure DevOps Jenkins Argo CD

📐 IaC & Config Management
Terraform Crossplane Ansible

📡 Observability & Messaging
Elastic Zabbix New Relic Kafka RabbitMQ

🤖 MLOps & AI Infrastructure
NVIDIA CUDA TensorRT cuDNN Kafka Docker

🖥️ Scripting & Languages
Bash Python Go C++ YAML

🤖 MLOps & AI Infrastructure

Beyond classic DevOps, I've built and operated the infrastructure that runs AI/ML workloads in production:

  • 🧠 Built, packaged (as artifacts) and deployed a C++ AI inference engine into production
  • 👁️ Deployed computer-vision applications — facial recognition, vehicle detection, and crowd-management systems
  • ⚡ Provisioned GPU compute with the full CUDA · cuDNN · TensorRT stack for accelerated inference
  • 🔀 Ran Apache Kafka as the messaging backbone to speed up model/API communication
  • 📦 Containerized GPU workloads and wired them into CI/CD for repeatable model delivery

🚀 Featured Projects

Real-world platform engineering work, published as sanitized reference implementations.

Project What it demonstrates Stack
🔄 gitops-argocd-platform App-of-Apps GitOps delivery to Kubernetes — Helm releases, sync waves, sealed secrets ArgoCD · Helm · K8s
📐 terraform-cloud-modules Reusable, composable IaC modules for AWS & Azure (networking, AKS/EKS, storage) Terraform
📊 zabbix-isp-monitoring Multi-ISP link monitoring with dynamic discovery + automated HTML email reporting Python · Zabbix
🪵 elk-centralized-logging End-to-end log pipeline (syslog/firewall → Elastic Agent → dashboards) with TLS & auth Elastic Stack
⚙️ azure-tenant-automation One-click tenant provisioning: Function Apps, Cosmos, Key Vault, VNET via az CLI + pipelines Azure · Bash
🤖 gpu-inference-stack Reproducible CUDA/cuDNN/TensorRT runtime for GPU-accelerated model inference NVIDIA · Docker
☸️ helm-charts-for-k8s Reusable Helm charts for application delivery Helm · Kubernetes

🏅 Certifications (click to verify)

  • Azure  2025 · 37E2A15ED3559E26
  • AWS  2022 · 854SGJ0DF2R1QVST
  • RHCSA  2020 · 200-145-001
  • CNSS  2020 · 17834571
  • CEH  2018   CCNA  2017

📈 GitHub Activity

activity graph

⭐ From armghan — let's build reliable platforms.

Pinned Loading

  1. cloudflare-bulk-action cloudflare-bulk-action Public

    JavaScript

  2. cuda-cuDNN-TensorRT cuda-cuDNN-TensorRT Public

    Shell

  3. EKS-CI-CD-Pipelines EKS-CI-CD-Pipelines Public

  4. helm-charts-for-Kubernetes-deployment helm-charts-for-Kubernetes-deployment Public

    Smarty

  5. OpenAS2/OpenAs2App OpenAS2/OpenAs2App Public

    OpenAS2 is a java-based implementation of the EDIINT AS2 standard. It is intended to be used as a server. It is extremely configurable and supports a wide variety of signing and encryption algorithms.

    Java 235 169

  6. azure-fileshare-cleanup azure-fileshare-cleanup Public

    This project provides a Flask-based REST API to list or delete old files and directories in an Azure File Share that are older than a configurable retention period. It supports both dry-run (previe…

    Python