Summary
Abad N is a DevOps and Cloud Engineer specializing in AWS-based infrastructure, DevSecOps practices, AI-driven systems, and large-scale production deployments with over 2+ years of hands-on experience in cloud architecture, automation, and platform engineering. He focuses on designing highly scalable and secure systems using AWS services such as ECS/Fargate, EC2, RDS, ALB, CloudFront, Lambda, API Gateway, CloudWatch, Route 53, and S3, while optimizing performance, reliability, and cost efficiency through auto-scaling strategies, workload tuning, and infrastructure observability. Abad is highly proficient in CI/CD automation using GitHub Actions and Jenkins, enabling zero-downtime deployments for multi-stack applications including Django, Laravel, Node.js, and Next.js, along with automated release workflows, rollback strategies, and cloud-native delivery pipelines. His expertise spans Infrastructure as Code with Terraform, containerization with Docker, Kubernetes-based deployments (EKS), and secure system design using DevSecOps principles including WAF configuration, SSL/TLS hardening, IAM policies, and vulnerability testing using tools like SQLMap, SonarQube, and Kali Linux. He has strong experience building observability systems using Prometheus, Grafana, Loki, EFK Stack, Jaeger, OpenTelemetry, and CloudWatch dashboards to monitor system health, optimize MTTR, and improve operational visibility across distributed systems. Across his work at Mediatiz Foundation and Poshmaal Technologies, he has led cloud migrations, optimized production systems handling high concurrent traffic, reduced infrastructure costs, and implemented automation-first DevOps workflows that eliminate manual release engineering. He also has strong experience in AI systems and MLOps, including building local LLM solutions, RAG pipelines, and log intelligence systems using MLflow, Airflow, DVC, FastAPI, and HuggingFace, demonstrating strong capability at the intersection of DevOps, AI infrastructure, and scalable backend engineering.
Meet Abad N.
Assessment Scores
Great score on Find Indices of Two Numbers That Add Up to Target, Difficulty Easy
Great score on Design a Scalable and Compliant SaaS Platform Architecture, Difficulty Hard
Great score on Optimize Kubernetes Clusters for Real-Time Fraud Detection, Difficulty Medium
Great score on Word Search in Grid, Difficulty Medium
Great score on Validate Parentheses in a String, Difficulty Hard
Great score on Reverse Digits of a 32-bit Integer, Difficulty Medium
Experience
Mediatiz Foundation
EdTech
DevOps Engineer
Full-Time
Oct 2025 — Apr 2026
Managed AWS infrastructure (ECS/Fargate, RDS, ALB, CloudFront, CloudWatch, SES, Route 53) for Mediatiz LMS and Khudi App serving 1M+ users with 20–30K concurrent requests at peak load; sustained 99.9% uptime
Reduced AWS cloud costs by 30% through CloudWatch-driven auto-scaling, ECS task-definition tuning, and workload-aware right-sizing across staging and production clusters
Built GitHub Actions CI/CD pipelines for Android (APK/AAB), Laravel LMS, Django, and Next.js admin dashboard with zero-downtime ECS rollouts, Slack deployment alerts, and Google Play Console automation; eliminated manual release-engineering overhead
Architected and deployed PyBot – a Django + Ollama (Gemma 2B) local LLM tutor running on self-hosted infrastructure – eliminating external LLM API costs and addressing data-residency requirements for student PII
Built serverless Slack-to-Google Sheets automation on AWS Lambda, API Gateway, EventBridge, and S3 for daily cross-departmental reporting across 8 departments; replaced a manual workflow
Ran in-house security testing on lms.mediatiz.org (brute-force, SQL injection, CSRF) using Kali Linux, SQLMap, and SonarQube; validated WAF rules and produced remediation reports adopted by the development team
Configured CloudFront + S3 origin for low-latency PDF lecture delivery (RoboVive LMS); integrated JazzCash and HBL Pay gateways and AWS SES (SMTP credential rotation, SPF/DKIM hardening) into production
Authored the internal LMS DevOps Automation Roadmap and built CloudWatch dashboards covering ECS cluster health, RDS performance, and cost tracking
Technologies:
AWS
ECS/Fargate
RDS
ALB
CloudFront
CloudWatch
SES
Route 53
GitHub Actions
Android
Laravel
Django
Next.js
Slack
Google Play Console
AWS Lambda
API Gateway
EventBridge
S3
Kali Linux
SQLMap
SonarQube
terraform
ec2
ecs
Poshmaal Technologies
Enterprise & SaaS
DevOps Engineer
Full-Time
Dec 2023 — Oct 2025
Firefly.online – AWS to On-Premises Migration: Led end-to-end migration of an IoT SaaS platform (Node.js, React, PostgreSQL) from AWS to self-managed bare-metal infrastructure using a Blue–Green deployment strategy; replaced EC2, ECS, RDS, ALB, S3, CloudFront, Lambda, and Redis with fully self-hosted equivalents • Executed full data migration – PostgreSQL databases, Redis persistence, and object storage – with zero customer-facing downtime; reduced infrastructure spend by ∼60% while improving operational control and deployment flexibility
Platform Rebuild & Production Infrastructure: 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 • Built GitHub Actions + SonarQube CI/CD pipelines automating code-quality checks, Docker image builds, and environment-specific deployments; configured Nginx upstream load balancing for multiple backend instances • Deployed full-stack observability with Grafana, Prometheus, Loki, and Node Exporter for real-time monitoring, centralized logging, and alerting; hardened all environments with SSL/TLS (Let’s Encrypt), UFW, Fail2ban, and SSH key restrictions
ERP Platform – Kubernetes GitOps Infrastructure (TransIP): Architected and deployed a production-ready K3s cluster on TransIP; provisioned servers, networking, and cluster resources for ERP workloads spanning C2B, B2C, and C2C business domains • Deployed and maintained 10+ microservices on K3s with environment isolation, ingress routing, scaling policies, and service-to-service networking; implemented Argo CD GitOps for automated, version-controlled deployments and consistent release management across environments
Technologies:
AWS
VPS
EC2
ALB
RDS
ECS/ECR
VPC
S3
WAF
Route 53
Node.js
Spring Boot
Docker
Kubernetes
Nginx
Jenkins
GitHub Actions
Prometheus
Grafana
Loki
SSL/TLS
Let’s Encrypt
SSH
UFW/iptables
Vault
Projects
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.
LogSense — ML-Powered Log Intelligence System
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
Education
Bachelor of Science in Software Engineering
2020 - 2024
NUCES-FAST University
islamabad, pakistan
DevOps Engineer
Available — No Current Full-Time Commitment
/Mo
/Hr
Islamabad, PAK
Karachi (UTC+05:00)
Member since May 22, 2026
4
Projects CompletedSkills & Expertise
AWS
Kubernetes
NodeJS
Kafka
Git
SQL
PHP
CSS
HTML
NextJS
Python
React
Java
Laravel
Fast API
Terraform
Jenkins
Developer Level
Associate
0-2 YOEAbad N. is associate Level Developer