I'm a DevOps & Platform Engineer based in Dubai, UAE, with 5+ years of hands-on experience operating at the intersection of infrastructure engineering, application delivery, and service reliability.

My work focuses on three things: eliminating manual operations through pipeline-driven automation, making systems observable through metrics-first monitoring, and keeping production stable by applying SRE principles from the ground up.

At Ibrahim Al Zarooni Group, I led the full transformation from FileZilla-based manual deployments to a Git-driven, Jenkins-automated, ChatOps-triggered delivery model, reducing manual release effort by ~80% and achieving 99.9% service availability.

I build things I'd trust at 3AM during an incident.

Cloud & Infrastructure AWS Amazon EKS VPC IAM CodePipeline CodeDeploy CodeBuild Elastic Beanstalk

Containers & Orchestration Docker Kubernetes OpenShift Proxmox Amazon EKS

CI/CD & Automation Jenkins GitHub Actions GitLab CI Ansible Git

Infrastructure as Code Terraform CloudFormation Ansible

Observability & Reliability Prometheus Grafana Loki Promtail Datadog Uptime Kuma SLOs SLIs Error Budgets p99 Latency

Linux & Systems RHEL Ubuntu Bash Shell Scripting Rsyslog Fail2Ban UFW mTLS

ChatOps & AI Tooling Mattermost LangChain LLM-powered bots Jenkins trigger bots

Security OWASP Burp Suite WAF Security Groups NACLs SSH hardening sysctl kernel tuning

Languages Python Golang Bash PHP JavaScript SQL

End-to-end AWS security infrastructure - WAF + ALB + EC2 ASG + S3 logging, built with modular Terraform. Simulates real-world attack patterns (XSS, path traversal, .env exposure) and captures WAF decisions to S3 for quarterly security reporting. → aws-waf-logging

Full CI/CD pipeline for a Vue.js application: Jenkins orchestration, Docker containerization, Ansible agentless deployment, DAST security scanning integrated into the pipeline, zero-downtime rollout strategy with automated rollback. → (link your repo here)

Production-grade SRE implementation: custom HTTP metrics middleware in Laravel, Prometheus metrics collection, Grafana dashboards aligned with Google SRE book standards, k6 load testing to validate SLO compliance under traffic pressure. → (link your repo here)

Highly available MySQL cluster deployment with automated failover and replication, fully provisioned and configured via Ansible playbooks. Zero manual steps from fresh servers to production-ready cluster. → (link your repo here)

Rsyslog aggregation across multiple Linux servers into a single secure log server. Hardening stack: Fail2Ban, SSH controls, UFW firewall, sysctl kernel tuning. Encrypted log transport via mTLS. Deployment automated end-to-end with Ansible. → (link your repo here)

End-to-end containerized application deployment on Amazon EKS with Datadog integration for real-time performance monitoring, distributed tracing, and operational dashboards. → (link your repo here)

✅  99.9% service availability  →  Uptime Kuma monitoring + alerting stack
✅  ~80% reduction in manual deployment effort  →  Jenkins + Git-driven CI/CD
✅  70% faster security incident response  →  Mattermost real-time alerting
✅  <2 min alert response time  →  High-priority notification framework
✅  60% improvement in monitoring effectiveness  →  Prometheus + Grafana stack
✅  40% increase in developer satisfaction  →  Internal chatbot & ChatOps automation
✅  25% cross-team efficiency gain  →  Custom operational bots
✅  ~$1,000/year infrastructure savings  →  Docker migration, Slack → Mattermost

• 🤖 AI-driven DevOps tooling - LangChain-powered operational assistants, LLM automation workflows
• 📐 Platform Engineering - Self-service deployment models, internal developer platforms