Senior DevOps & Cloud Engineer with 10+ years of hands-on experience designing, automating, and operating resilient cloud infrastructure on AWS, GCP, and hybrid environments. Passionate about turning complex systems into elegant, self-healing pipelines.
I'm Naveed Ahmed — a DevOps Engineer, Entrepreneur, and lifelong learner based in Pakistan. I completed my BSc in Computer Science from the University of Sindh and have spent the past decade building, migrating, and operating cloud-native infrastructure at scale.
My work spans the full infrastructure lifecycle: from architecting multi-region AWS environments and implementing zero-downtime CI/CD pipelines, to hardening security postures and mentoring junior engineers.
Beyond the terminal, I'm a teacher and social activist — I believe in sharing knowledge and using technology to create opportunities for communities around me.
Designed and implemented a fault-tolerant, multi-AZ AWS architecture with Auto Scaling groups, Application Load Balancers, and RDS Multi-AZ for zero-downtime operations.
Led end-to-end migration of a complex web application and its production database from Rackspace to AWS using AWS DMS, Route 53 weighted routing, and blue-green deployments.
Built a comprehensive Ansible playbook library for provisioning and configuring web servers, databases, and monitoring agents across hundreds of nodes with idempotent, version-controlled automation.
Moved a high-traffic SEO tools platform from dedicated servers to a fully elastic AWS architecture with Auto Scaling and ELB, cutting infrastructure costs while improving availability.
Architected the complete AWS cloud infrastructure for eQuiz from scratch, including VPC design, IAM policies, secure data storage, and a scalable compute layer.
Developed an automated trading bot in MQL5 for MT5 platform, implementing 15-minute timeframe strategy execution and risk management logic.
Whether you have a role to discuss, a complex infrastructure challenge, or just want to say hello — my inbox is always open. I'll get back to you within 24 hours.
Combining my DevOps background with the latest AI tooling to build autonomous agents that can plan, execute, and self-correct infrastructure tasks. Exploring how LLMs + tool use can replace entire runbooks — from incident response to deployment pipelines.
Building agents that autonomously handle on-call alerts, run root-cause analysis, apply fixes, and verify resolution — all without human intervention.
Implementing MCP servers to give AI agents real-time access to AWS, Kubernetes, GitHub, and internal tools — turning LLMs into true infrastructure operators.
Replacing manual runbooks with fully automated, event-driven workflows. If a human is doing it more than twice, it gets automated.
Pipelines where an AI agent decides the deployment strategy, monitors rollout health, and auto-rolls back — no static pipeline YAML required.
Using AI to correlate metrics, logs, and traces — auto-generating incident summaries and suggesting remediation steps directly in Slack.
Natural language → production-ready Terraform. Describe an architecture in plain English, get reviewed and applied IaC with full audit trail.
All HTML, CSS, JS and assets stored as static files in a single S3 bucket. Zero servers, zero patching, infinite scale.
Single distribution serving 6 domains from 400+ edge locations worldwide. Sub-10ms latency for most visitors. HTTPS enforced everywhere.
Authoritative DNS for naveedkumbhar.com. Alias records point all 6 domains directly to CloudFront with zero TTL overhead.
Lightweight JavaScript function running at the edge. Routes each subdomain to its correct S3 path based on the Host header — zero latency overhead.
Full interactive resume — experience, skills, certifications and education in one clean page.
Practical guides on Kubernetes, AWS, Terraform, Ansible, CI/CD and cloud-native engineering.
Browser-based DevOps utilities — JSON formatter, YAML validator, JWT decoder, cron parser, Base64 and more.
Project showcase, architecture diagrams, tech radar, and DevOps experiments from production environments.
One-stop page for all social, professional, and content links — LinkedIn, GitHub, certifications and more.