Khaja Takreem Ulla

Full Stack Developer

Invide labs

Nov 2021 - Nov 2024

Developed a Chrome Extension (Invide Jobs Manager) using JavaScript to scrape and analyze job page data, integrating with GPT APIs to extract structured job information (title, description, company, website) and seamlessly publish it to a MongoDB-backed job portal. Built and maintained scalable React.js applications for job dashboards and admin panels, leveraging component reusability, hooks, and optimized state management (Context API/Redux) to improve performance and user experience. Designed and implemented RESTful APIs using Node.js and Express.js to handle job data processing, automation workflows, and third-party integrations. Automated backend workflows using Node-RED and Node.js scripts to schedule and execute multiple API calls for fetching, transforming, and persisting job data into the system. Developed and integrated multiple frontend modules (including Angular legacy components) and migrated/connected them with modern MERN architecture. Implemented end-to-end testing and API validation using Mocha, Chai, and Sinon, ensuring high reliability, performance, and error handling across services. Designed and built a real-time notification system using Redis for caching and pub/sub mechanisms, enabling user-specific alerts and scalable message delivery. Created and optimized multiple REST APIs with proper middleware, validation, and error handling, improving backend efficiency and maintainability. Developed server-side rendered views using EJS and progressively enhanced them with React for better scalability and user experience. Improved application performance by reducing page load time by 40%, optimizing API responses, and enhancing frontend rendering strategies. Enhanced SEO performance using tools like Ahrefs, resulting in measurable growth in organic traffic (~10%). Optimized production builds in a Node.js (Sails.js) environment using task runners (Grunt) for minification, bundling, and cache-busting, improving load efficiency. Implemented timezone-aware scheduling logic and dynamic metadata generation (Open Graph tags), including automated social preview image generation for job listings.