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Schedule Interview NowMy name is Fawad A. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Full-Stack Development, node.js, ExpressJS, Tailwind CSS, HTML5, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Digital Tenant - AI-Enhanced Tenant Experience Platform, SpareDrent - Smart Property Rental Management Platform, Prime Tuition - MERN Stack Admin Panel for Educational Platform, RentEase: Scalable Next.js Property Listing Platform with Google Auth, Softlogic - Comprehensive Service Provider Application, etc.. I am based in Karachi, Pakistan. I've successfully completed 11 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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InvoZone
Digital Tenant transforms the rental experience through AI-enhanced apartment discovery and smart lease management. The platform features personalized property recommendations, virtual tours, digital lease signing, and automated maintenance reporting. Built with enterprise-grade security, it serves thousands of users with lightning-fast performance while processing 10,000+ property searches daily.
SpareDrent is an AI-powered property rental management platform that streamlines landlord-tenant interactions. Features include intelligent rent optimization, automated tenant screening, real-time payment processing, and predictive maintenance scheduling. Built with MERN stack and AI integration, it reduces operational overhead by 40% while maximizing occupancy rates and tenant satisfaction through smart matching algorithms and seamless digital experiences.
Developed an admin panel for Prime Tuition using the MERN stack. Built a dynamic, user-friendly interface with React and implemented secure RESTful APIs with Node.js and Express for content management. Integrated MongoDB for efficient data storage and WebSocket for real-time notifications. Added role-based access control to ensure secure user permissions and scalable platform growth.
RentEase is a modern real estate platform built with Next.js where users can list properties for sale or rent. It features Google Authentication, a seamless UI, and responsive design. Property owners can easily create and manage listings, while buyers or renters can contact them directly. Leveraging NextAuth, SSR, and SSG, RentEase ensures fast performance, security, and scalability, making property transactions effortless.
Contributed to the development of Softlogic, a service provider platform offering web development, mobile app development, and more. Built a scalable backend using Express.js and MongoDB. Created a responsive, interactive frontend with React and animations powered by Framer Motion. Integrated RESTful APIs, utilized SCSS for styling, and designed a service categorization system for improved user experience.
Bachelor of Computer Science (BCompSc) in
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