Shanza Ali

PROFESSIONAL PROFILE Computer Science undergraduate at NUST with strong experience in full-stack web development, machine learning, and human- centered system design. Skilled in building scalable, real-time applications using React, Next.js, and the MERN stack, with hands-on experience integrating deep learning models for real-time analysis and feedback systems. Actively involved in research-driven projects exploring adaptive interfaces, productivity tools, and intelligent systems. Proven ability to work in collaborative environments, lead small teams, and translate complex technical ideas into practical, user-focused solutions. EDUCATION Bachelor of Science in Computer Science (BSCS) School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.26 (2026) INTERNSHIP EXPERIENCE Research Solutions and Ventures (RESOLVE) 16-Jun-2025 - 16-Aug-2025 Worked on a POC Retrieval-Augmented Generation (RAG) Chatbot over a SQL Database, contributing to data integration, model workflow setup, and iterative testing. Humanity Alliance Organisation (HAO) 21-Jul-2024 - 21-Sep-2024 Worked as an intern within a collaborative development team, focusing on building responsive and interactive web applications using React.js. Bluediamond AI Engineering 16-Jun-2024 - 16-Aug-2024 Worked as an intern to design and develop the frontend architecture for a web project using React.js. Tasks included creating mockups on figma ad then converting them into react code. FINAL YEAR PROJECT MORPHE - Adaptive Interfaces for Productivity Software MORPHE is a research-driven final year project focused on improving developer productivity through adaptive user interfaces. The system analyzes real-time user behavior and attention signals, including typing patterns, undo actions, navigation events, and eye- tracking data, to infer user context during development tasks. Built as a modular prototype within Visual Studio Code, MORPHE applies rule-based interface adaptations that dynamically adjust interface complexity, highlight relevant tools, and suggest workflow optimizations. The project evaluates how interface adaptivity can reduce cognitive load, enhance focus, and lay the groundwork for future intelligent, personalized developer tools. TECHNICAL EXPERTISE Full-Stack Web Development Experienced in designing and building scalable, responsive web applications using React, Next.js, Node.js, MongoDB, and Redux. Skilled in component-based architecture, state management, RESTful APIs, and real-time features using Socket.io, with a strong focus on performance and usability.

Computer Science undergraduate at NUST with strong experience in full-stack web development, machine learning, and human- centered system design. Skilled in building scalable, real-time applications using React, Next.js, and the MERN stack, with hands-on experience integrating deep learning models for real-time analysis and feedback systems. Actively involved in research-driven projects exploring adaptive interfaces, productivity tools, and intelligent systems. Proven ability to work in collaborative environments, lead small teams, and translate complex technical ideas into practical, user-focused solutions.