Hi, I'm Umar Aziz

Built StageX, a session-based streaming web app for crypto streamers. Users log in with wallet IDs, create sessions, invite members, and assign roles (moderators/admins). Features real-time voice, Q&A chat, anonymous join, and integrated Web3 widgets for NFT trading. Developed a scalable, secure, and interactive platform optimized for seamless streaming and blockchain transactions.

We built a full multi-tenant healthcare management portal where doctors can register as tenants, onboard staff, and manage the entire clinic workflow. The system allows patients to access a separate client portal to book appointments, manage cards, view documents, shop, and follow schedules. Doctors and staff can manage appointments, commissions, inventory, invoices, reports, and client records through secure role-based dashboards. The platform is scalable, fast, and optimized for real clinical operations.

Developed a comprehensive multi-tenant employee management and task automation platform as a Next.js Developer. The platform enables organizations to manage multiple tenants with isolated data and configurations. Features include real-time task assignment, employee onboarding, performance tracking, automated workflows, and role-based access control. Implemented real-time communication using Socket.io for live updates and notifications. The system supports scalable architecture with MongoDB for flexible data management and React Native for cross-platform mobile access.

Built a comprehensive Learning Management System with advanced features for online education. The platform includes interactive course content with quizzes and assignments. Integrated Stripe for secure payment processing and course enrollment. Utilized AWS S3 for efficient video and media storage, Mongoose for robust database management, and TypeScript for type-safe development. The system provides instructors with tools to create, manage, and deliver courses while offering students a seamless learning experience with analytics and certification tracking.

Developed a full-stack e-commerce solution with comprehensive features for online retail operations. Built with React for a responsive frontend, Node.js and Express.js for a robust backend API, and MongoDB for flexible product and order management. Implemented real-time inventory tracking to prevent overselling and ensure accurate stock levels. Features include user authentication, shopping cart functionality, secure checkout process, order management, product search and filtering, customer reviews, and admin dashboard for managing products, orders, and customers. The platform is optimized for performance with Tailwind CSS for modern, responsive design.

Created an international multi-language business website built with the MERN stack, featuring comprehensive i18n (internationalization) support for seamless language switching. The platform supports multiple languages to serve a global audience, with dynamic content translation and locale-specific formatting. Includes a fully functional dashboard for business analytics, content management, and user insights. Features a comprehensive admin panel for managing content, users, languages, and site configurations. The system handles multilingual SEO, currency conversion, and region-specific content delivery. Deployed on Vercel for optimal performance and global CDN distribution.

Developed an Air Quality Index (AQI) prediction web application using machine learning algorithms. The platform allows users to input environmental data such as pollutant concentrations, weather conditions, and location information to receive accurate AQI predictions. Built with React.js for an intuitive user interface and Flask for the Python backend API. Utilized Scikit-learn for training and deploying machine learning models that analyze patterns in air quality data. The models were developed and tested using Jupyter Notebook for data analysis and model optimization.