Abad N is a DevOps Engineer with over 2 years of experience in cloud architecture, automation, and platform engineering, specializing in AWS-based infrastructure and DevSecOps practices. Proficient in AWS services like ECS/Fargate, EC2, RDS, and S3, Abad builds highly scalable and secure systems. He employs CI/CD automation using GitHub Actions and Jenkins for zero-downtime deployments of multi-stack applications, including Django, Laravel, Node.js, and Next.js. His expertise also includes Infrastructure as Code with Terraform, containerization with Docker, and Kubernetes deployments using EKS, with a focus on security and observability. At Mediatiz Foundation, Abad managed AWS infrastructure for platforms serving over 1 million users, achieving 99.9% uptime and reducing cloud costs by 30%. He also led the deployment of a Kubernetes GitOps platform at Poshmaal Technologies, enabling automated synchronization and self-healing for a 10-service microservices architecture. Abad holds a Bachelor of Science in Software Engineering from NUCES-FAST University. He is well-suited for roles focusing on cloud infrastructure optimization, DevOps automation, and scalable backend engineering.
Architected and managed full AWS production infrastructure (ap-southeast-1) for a SaaS laboratory management platform — patient workflows, PDF report generation, automated notifications. Handled provisioning, scaling, and ongoing operations.
Deployed a 10-service polyglot microservices platform (Go, Java, Node.js, Python, PHP) on a self-hosted bare-metal Kubernetes cluster using Helm and GitOps practices. Managed the entire cluster state declaratively with ArgoCD, enabling automated synchronization and self-healing drift remediation. Designed and implemented independent GitHub Actions CI/CD pipelines for all 10 services, where each pipeline built and tagged Docker images with the Git commit SHA, pushed images to Docker Hub, and automatically updated per-service image tag overrides in the GitOps repository for independent ArgoCD-driven deployments. Resolved multiple upstream build issues, including replacing the deprecated openjdk:8-jdk image with a multi-stage maven:3.8-eclipse-temurin-8 build and upgrading the Go dispatch service to fix a broken pprof dependency. Deployed and tuned the kube-prometheus-stack via ArgoCD for an 8GB VPS environment, created custom ServiceMonitors, and instrumented cart and payment services with prom-client metrics (counters, histograms), validating observability end-to-end in Grafana using PromQL queries.
Built an NLP-powered log intelligence and MLOps platform that reduced infrastructure MTTR by ~45% through automated anomaly detection, issue classification, and root-cause analysis on infrastructure logs. Designed the complete ML pipeline using MLflow, DVC, and Airflow, containerized FastAPI-based inference services, and integrated intelligent alert routing with Slack, Microsoft Teams, and PagerDuty to reduce alert fatigue and improve incident response efficiency while keeping all models self-hosted for cost optimization and data privacy.
Designed and provisioned Development, Staging, and Production environments during the migration from Node.js to Java Spring Boot; built and secured Ubuntu infrastructure with Java, Maven, Docker, PostgreSQL, Redis, Apache Kafka, Node.js, and NGINX
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DevOps Engineer
Islamabad, PAK · 0-2 years experience
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