Muhammad Saad Ashraf

PROFESSIONAL PROFILE Enthusiastic Software Engineering student focused on solving complex problems, developing scalable systems, and exploring innovative areas of Computer Science research. EDUCATION Bachelor of Engineering in Software Engineering School of Electrical Engineering and Computer Science , Islamabad , 3.41 (2026) INTERNSHIP EXPERIENCE Bazaar Technologies 16-Jun-2025 - 11-Aug-2025 Changed the card refund process to an instant wallet-first approach. Instead of forwarding the refund request for a cancelled card order to the bank, we first load the money in the customer's wallet as a result of this feature. Then if the customer wants, we let them request a bank refund. This resulted in increased retention and repeat orders while also enhancing customer experience due to instant refunds as the bank usually takes 12-14 business days to process the refund. Integrated the Jazzcash mobile payment webhook-based system into the Bazaar infrastructure, resulting in an 11% increase in digitally paid orders. Bazaar Technologies 11-Aug-2025 - 26-Jan-2026 Was promoted to Trainee Engineer after the internship. Since then, I have worked on integrating Cybersource (one of the world's biggest card payment providers) into the Bazaar infrastructure through HBL. Currently working on building and enhancing systems for after-sales reporting and compliance. FINAL YEAR PROJECT Adaptive Web Interaction: Leveraging Reinforcement Learning for Comprehensive Action Support Training small language model agents for the task of web navigation using reinforcement learning techniques so that users can give the agent a natural language task to perform on a given website and see it complete it on their browsers through a browser extension. TECHNICAL EXPERTISE Backend Development Proficient in backend system design, creating scalable APIs and writing clean, maintainable backend code. Worked with backend frameworks like Node and Express, Django, and Springboot. Machine Learning Have 200+ research hours in Machine Learning and Artificial Intelligence under my belt. Worked as a Deep Learning Research Intern at TUKL Deep Learning Lab where I worked on developing an end-to-end EEG diagnostic system with natural language report generation. Currently working on a research-based final year ...

Enthusiastic Software Engineering student focused on solving complex problems, developing scalable systems, and exploring innovative areas of Computer Science research.