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m-aboud/README.md

LinkedIn Email Location Open to work

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πŸ‘‹ About

I design and deliver enterprise infrastructure, hybrid cloud platforms, AI automation systems, and data center solutions across Saudi Arabia and MENA.

My work bridges infrastructure reliability, business transformation, and automation β€” from data center operations and cloud architecture to AI-enabled platforms, observability, and operational excellence.

Introducing the OpenClaw Enterprise Platform: A master architecture, documentation, governance, and portfolio repository that unifies all my OpenClaw projects into a single, cohesive enterprise solution. This platform serves as a central hub demonstrating my expertise in building and leading modern cloud initiatives at scale.

role:        Senior Infrastructure & Cloud Architect
focus:       AI Infrastructure β€’ Hybrid Cloud β€’ Data Center Modernization
mindset:     Architecture-first β€’ Automation-by-default β€’ SLO-driven
currently:   Building AI-native infrastructure blueprints & automation tooling
open_to:     Senior Architect β€’ Solutions Architect β€’ Presales β€’ Platform Lead

🎯 Focus Areas

πŸ—οΈ Infrastructure & Cloud

  • Hybrid Cloud Architecture (AWS, Azure, on-prem)
  • Data Center Engineering (MEP, IT, commissioning)
  • Kubernetes & Container Platforms
  • Infrastructure as Code (Terraform, Ansible)

πŸ€– AI Infrastructure

  • GPU cluster design & scheduling
  • AI-ready data center planning
  • LLM application platforms
  • ML pipeline observability

πŸ“Š Operations & Reliability

  • SLO-driven observability (Prometheus, Grafana, Loki)
  • Incident response & structured RCA
  • Capacity & power/cooling management
  • IT governance, compliance, audit readiness

πŸ’Ό Presales & Architecture

  • Solution architecture & design authority
  • Technical presales, PoCs, demos
  • Enterprise architecture frameworks
  • Customer-facing technical leadership

πŸš€ Featured Projects

Project Description Stack
🌟 OpenClaw Enterprise Platform Master architecture, documentation, and governance repository unifying all OpenClaw projects. Platform Engineering Cloud Architecture GitOps Zero Trust SRE AI Infra
🟩 OpenClaw MCP Agentic Lab OpenClaw gateway · MCP tool server · Claude + OSS models Python MCP Claude API Ollama FastAPI Typer Rich Docker
🟩 NVIDIA AI & HPC Portfolio CUDA benchmarking, AI/HPC cluster capacity planning & NVIDIA GPU observability β€” software-level GPU awareness tied to real data center concerns CUDA C++ Python Docker DCGM Prometheus Grafana
πŸš€ GitOps CI/CD Platform Full Terraform β†’ EKS β†’ Argo CD β†’ Rollouts β†’ Kyverno reference platform with signed images & SLSA provenance Terraform Argo CD K8s Cosign Trivy Kyverno
πŸ€– AI Job Agent LLM-powered job discovery, ranking, CV tailoring & Telegram alerts Python Playwright LLMs Docker SQLite
🏒 Data Center Ops Toolkit Calculators & playbooks for UPS, generators, cooling, capacity & RCA Python CLI Markdown
βš™οΈ Infra Automation Lab Production-grade Terraform, Ansible, Docker & Kubernetes patterns Terraform Ansible K8s GH Actions
πŸ“Š Observability Platform Full Prometheus + Grafana + Loki + Alertmanager stack with rules Docker Prometheus Grafana Loki
🧠 AI Infrastructure Blueprints Reference architectures for AI-ready DCs, GPU clusters, K8s scheduling Markdown Mermaid K8s GPU
πŸ“ Portfolio Architecture samples, PoC writeups & solution design artefacts Markdown Diagrams

🌟 OpenClaw Enterprise Platform β€” Interview-Ready Summary

This platform demonstrates expertise in:

  • Platform Engineering: Designing and building internal developer platforms that accelerate delivery.
  • Cloud Architecture: Multi-cloud designs, hybrid deployments, and highly available architectures.
  • DevSecOps: Integrating security throughout the development and operations lifecycle.
  • GitOps: Declarative infrastructure and application management using Git.
  • Zero Trust: Implementing robust security models based on explicit trust verification.
  • Kubernetes Operations: Managing complex Kubernetes environments at scale.
  • SRE: Applying Site Reliability Engineering principles for operational excellence.
  • AI Infrastructure: Building and managing the underlying infrastructure for AI/ML workloads.
  • Agentic AI: Developing and integrating autonomous AI agents for various platform functions.
  • Enterprise Governance: Establishing policies, audits, and controls for large-scale organizations.

πŸ“ˆ GitHub Activity

GitHub stats Top languages

GitHub streak

Trophies


πŸŽ“ Certifications

PMP CISM CISSP AWS SA Azure DevOps Terraform CKA NVIDIA NCA-AIIO

πŸ“œ Verify all certifications via my Credly profile


πŸ’‘ Selected Achievements

  • 🏒 Architected and governed enterprise data center and hybrid cloud environments supporting 200+ production services.
  • ⚑ Led modular data center delivery covering MEP, IT, security, commissioning, and operational readiness.
  • 🎯 Supported presales discovery, demos, PoCs, proposals, and customer-facing solution architecture.
  • πŸ“‰ Reduced monitoring noise and incident recurrence through SLO-driven observability and structured RCA practices.
  • πŸ”„ Delivered infrastructure automation, cloud operations, compliance alignment, and service reliability improvements.

🧭 Current Direction

mindmap
  root((Mohammed Aboud))
    AI Infrastructure
      GPU Platforms
      LLM Operations
      AI-Ready DCs
    Cloud Platforms
      Hybrid Cloud
      Kubernetes
      Platform Engineering
    Data Center
      Modernization
      Capacity Planning
      Operational Excellence
    Architecture
      Solution Design
      Presales
      Enterprise Architecture
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🀝 Let's Connect

Architecture is the art of saying "no" with a diagram. ✏️

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