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Schedule Interview NowMy name is Arslan R. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Full-Stack Development, Front-End Development, React, Back-End Development, Next.js, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Full Stack Development: Secure Data Storage for 911 Vault, Full Stack Development: Rewards System for Hero Trainer, Full Stack Development: Real-Time Tracking System for Trak4, Full Stack Development: 20% Customer Retention Boost for Point.Laz, Automating Dealer Operations – AutoVerify, etc.. I am based in Lahore, Pakistan. I've successfully completed 13 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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6 years
5 Years
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Techlogix
911 Vault required a highly secure and efficient platform for storing critical emergency data. Using React for a responsive interface and Python for backend encryption, we developed a robust system that ensures fast, encrypted access to vital information. The solution enhances data protection, streamlines retrieval processes, and provides seamless accessibility for authorized personnel, reinforcing security and reliability in emergency situations.
Hero Trainer needed a scalable platform to manage its gamified fitness rewards system. Using React for an interactive interface and Python for backend processing, we developed a seamless app that tracks user activity, distributes rewards, and ensures real-time data synchronization. The improved system enhances user engagement, reduces lag in reward distribution, and offers a smooth experience for fitness enthusiasts.
Trak4 required a high-performance tracking system for accurate real-time location monitoring. Using React for a dynamic interface and Python for efficient backend processing, we built a system that improved data precision, reduced delays, and ensured smooth device connectivity. The upgraded platform delivered faster tracking updates and better asset management, making it a reliable solution for businesses needing real-time location insights.
Point.Laz required a scalable and high-performance web solution to enhance user experience and system efficiency. Built with React for a dynamic front-end and Python for a robust back-end, the platform now delivers seamless navigation, real-time data processing, and secure API integrations. Optimized database management and a responsive UI ensure smooth functionality across devices. These improvements have enhanced system performance, improved user engagement, and streamlined overall operations.
AutoVerify required a streamlined platform to automate dealership processes and improve efficiency. Using React for an intuitive front-end and Python for powerful back-end automation, we built a system that simplifies customer verification, document processing, and inventory management. These enhancements reduced manual workload, improved accuracy, and increased processing speed for dealers. The optimized platform now ensures seamless automation, saving time and enhancing overall operational efficiency.
Bachelor of Computer Science (BCompSc) in coding,
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