najjaved - Overview

I'm Najma, a multidisciplinary engineer with 6+ years of experience across software testing, DevOps & cloud infrastructure, Web development, and applied AI .


šŸ‘Æ I’m looking to collaborate on...

  • Projects involving DevOps automation and scalable cloud-native applications
  • Model-based development for HiL test environments, software testing, and test pipelines that integrate DevOps practices
  • Agentic workflows, RAG pipelines, and LLM-powered productivity tools

šŸŽ“ Technical Training & Mentoring

I am passionate about continuous learning & knowledge sharing. Having transitioned into cloud-native tech myself through intensive bootcamps, I provide first-hand insight into the student journey. My teaching focuses on:

  • Simplifying complex technical concepts
  • Facilitating hands-on labs for production-ready projects
  • Mentoring learners transitioning into tech careers

🧰 Tech Stack & Tools

šŸ’» Languages & Scripting

Python JavaScript TypeScript Bash MATLAB

šŸ¤– AI & Automation

n8n LangChain Prompt Engineering Claude Code Cursor

šŸš€ Simulation & HiL Testing

MATLAB/Simulink Speedgoat dSPACE ECU_Testing Vector Tools ISTQB

šŸŒ©ļøšŸ”§ Cloud & DevOps

Amazon AWS Micorsoft Azure Terraform Ansible Docker Kubernetes GitHub Actions Prometheus Grafana

šŸŽØ Frontend

React Next.js Mantine UI CSS Modules HTML5

āš™ļø Backend & APIs

Node.js Express.js REST API JWT MongoDB PostgreSQL Redis


šŸ“‚ Highlighted Projects

  1. DevOps Implementation for Expensy Mircorservices App Implemented a comprehensive DevOps cycle for an expense tracker application featuring a Next.js frontend and a Node.js backend, utilizing MongoDB and Redis. Key topics include:
  • Automation of infrastructure implementation using Infrastructure As Code (IaC)
  • Containerization of microservices.
  • Automated deployment to Azure Kubernetes cluster via CI/CD pipelines, leveraging GitHub Actions.
  • Monitoring application and infrastructure metrics using Prometheus, with visualization via Grafana dashboards.
  • Establishment of alerting mechanisms for critical metrics.
  • Logging with Loki with a visualization of Log metrics in Grafana.
  1. CI/CD for a multi-stack Voting Application with Amazon EKS This project focuses on deploying a multi-stack voting application, composed of Python, Node.js, .NET, Redis, and PostgreSQL microservices, onto an Amazon EKS cluster. The process involves containerizing each microservice, deploying them to EKS using Kubernetes manifests while securely managing secrets, and setting up an NGINX Ingress controller via Helm for external traffic routing. The project establishes a CI/CD pipeline using GitHub Actions to automate the building and pushing of Docker images, along with the continuous deployment of these updates to the EKS environment. The final outcome is a fully functional and automatically updated voting application running on a scalable and orchestrated Kubernetes platform on AWS.

  2. Vintage Reborn Web Application Vintage Reborn is a full-stack web application built with the MERN stack (MongoDB, Express.js, React, Node.js), inspired by 'eBay Kleinanzeigen' of Germany and featuring a REST API for backend communication. Key features include user authentication (signup, login, logout), the ability to add, browse, and search product listings, and cart management. The application supports user and admin roles, with functionalities for managing products and user profiles. The frontend, built with React and Mantine UI, interacts with the Express.js and MongoDB backend through defined API endpoints.


šŸ¤ Let's Connect

Open to connecting with like-minded professionals who value innovation, quality, and continuous learning.
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