Yousuf Rehan

PROFESSIONAL PROFILE Results driven software engineer with strong foundations in backend development and applied machine learning. Experienced in modern web stacks, APIs, and data-driven applications, with an interest in deploying real-world AI systems EDUCATION Bachelor of Engineering, Software Engineering SEECS , Islamabad , 3.6 (2026) INTERNSHIP EXPERIENCE Topcar 23-Dec-2024 - 23-Jan-2026 Working directly under the CTO as a Full Stack Engineer, utilizing technologies such as Angular, Next.js, and Node.js to enhance the company’s products. Lead the expansion of the platform from a single-country to a multi-country system, ensuring seamless backend, user, and admin integration. Enhanced user experience by implementing error handling in over 30 admin dashboard forms using Angular, reducing admin complaints. Developed and documented a new search API using Node.js and MySQL, increasing query efficiency and enabling smooth migration for other teams. FINAL YEAR PROJECT Optimization of NOMA-Enabled Backscatter Communication Using Deep Reinforcement Learning in Diverse RIS-Aided Wireless Systems This project investigates the optimization of non-orthogonal multiple access (NOMA)-enabled wireless backscatter communication systems using deep reinforcement learning (DRL) enhanced by various types of reconfigurable intelligent surfaces (RIS). Our approach supports a unified, scenario-agnostic framework for jointly tuning key system variables—such as RIS element configurations, transmit power levels, resource-allocation timings, and backscatter parameters—so that different combinations can be deployed on the fly to meet varying performance goals. A DRL-based agent is developed to intelligently adapt to changing channel conditions and user demands, enabling real-time learning and decision-making without relying on explicit mathematical models. TECHNICAL EXPERTISE

Results driven software engineer with strong foundations in backend development and applied machine learning. Experienced in modern web stacks, APIs, and data-driven applications, with an interest in deploying real-world AI systems