If your AWS, Azure, or GCP bill keeps climbing, or your team is shipping slower than your roadmap demands, that's usually a cloud architecture and DevOps problem, not a people problem. And if leads are coming in but slipping through the cracks, or you're a founder buried in manual work that should run on autopilot, that's a systems problem AI can fix. I'm Muhammad Zeeshan, AI Automation Engineer and Cloud & DevOps Architect with 15+ years of experience. I help startups and scale-ups two ways. I fix cloud and DevOps problems through FinOps, cost optimization, and infrastructure automation across AWS, Azure, GCP, and Oracle Cloud. And I build production AI systems that convert leads and remove manual work, with the same engineering discipline I bring to infrastructure. Real systems that hold up in production, not demos that break the first week. Recent results: - Reduced AWS spend by $6,000/month (30%) for a GCC e-commerce client through waste elimination, right-sizing, and a real-time cost dashboard - Built an AI lead conversion agent that handled 355 live chats and filtered out 42 spam leads during a running Meta ad campaign, so real buyers reached the team and the noise got cut automatically - Migrated a FinTech client to Oracle Cloud with Kubernetes and CI/CD, achieving 99% uptime and eliminating manual deployments - Built a production-ready AWS foundation for a SaaS startup with Terraform and GitHub Actions, with multi-tier architecture, cost governance, and automated CI/CD from day one What I deliver: AI & Automation - AI Lead Conversion System: chat agents that qualify leads, filter spam, answer questions, and hand off real buyers, so you stop losing leads to slow follow-up - AI Agent for Founder OS: automates the daily operations that drain solo founders and small teams, like lead triage, follow-ups, content drafting, and task tracking, run from one place - Custom AI agents and chatbots, LLM integration, and workflow automation with n8n Cloud & DevOps - FinOps & Cost Optimization: right-sizing, scheduling, tagging, waste elimination - Cloud Architecture & Migration: IaC, multi-cloud, infrastructure automation - DevOps & CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD - Containers: Kubernetes (EKS/AKS/GKE), Docker, Helm Certifications: AWS Solutions Architect; Azure Solutions Architect Expert, DevOps Engineer Expert, Administrator Associate; Google Cloud Professional Architect, Digital Leader Technical Stack: Cloud: AWS, Azure, GCP, Oracle Cloud AI & Automation: LLM integration, AI agents and chatbots, n8n IaC: Terraform, CloudFormation, Ansible, Bicep CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD Containers: Docker, Kubernetes, Helm Monitoring: Prometheus, Grafana, ELK, Datadog, New Relic Languages: Python, Node.js, Go, PowerShell, Bash Databases: PostgreSQL, MySQL, DynamoDB, MongoDB, CosmosDB