Aqsa Batool

PROFESSIONAL PROFILE I'm a Full Stack Developer with practical experience in developing AI-powered web applications using modern frameworks such as the MERN Stack, FastAPI and Next.js. Skilled in building complete web solutions from frontend interfaces to backend services, with an emphasis on maintainable code, performance, and usability. Has worked on production-level systems involving AI-based feedback analysis, third-party API integrations, and data-driven dashboards for business insights. Comfortable working in collaborative development environments and experienced with version control using Git and GitHub. In addition to professional work, has completed multiple personal and academic projects that reflect strong technical foundations and an interest in applying AI to real-world web applications. EDUCATION BS CS, 7th semester SEECS , Islamabad , 2.83 (2026) INTERNSHIP EXPERIENCE devJunction 16-Jun-2025 - 31-Aug-2025 - Worked on a web-based AI-powered feedback analysis system for the hospitality sector (restaurants). - Integrated backend APIs to fetch Google Reviews and display location-wise score matrices for comparison. - Implemented AI-driven insights and suggestions based on negative customer feedback. - Enhanced the admin dashboard to present actionable insights for restaurant management. - Fixed live production bugs to ensure a smooth and reliable user experience. - Collaborated using Git and GitHub for version control and team-based development. Skills: NestJS, Next.js, PrismaORM, PostgreSQL, REST APIs, Tailwind CSS, shadcn, AI, Git, GitHub Code Knitters AI 09-Sep-2025 - 09-Dec-2025 - Collaborated on full-stack development of dynamic web applications. - Built responsive front-end components using React.js and Next.js. - Participated in code reviews, debugging, and feature enhancements. Skills: React.js, Next.js, Express.js, MongoDB, JavaScript, REST APIs, Git FINAL YEAR PROJECT AceVision - AI-Powered Tennis Training & Analysis Platform To address the lack of accessible, data-driven tennis analytics in Pakistan, we propose AceVision, a Software-as-a-Service (SaaS) platform that leverages Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV) to analyze tennis gameplay. AceVision provides players and coaches with actionable insights by processing video footage to generate detailed statistics, movement heatmaps, and performance metrics. These insights allow players to make informed decisions to improve their skills, refine techniques, and optimize training strategies in real-time. The platform is designed as an intuitive mobile application, enabling users to conduct technical evaluations and access analytics without the need for expensive hardware or specialized environments. AceVision aims to bridge the gap between professional-level performance analytics and everyday training needs. By combining state- of-the-art computer vision algorithms with deep learning models, the system can deliver real-time feedback and comprehensive statistics in an easy-to-understand format. The SaaS architecture ensures scalability, allowing the platform to support multiple users simultaneously, while future updates will continuously improve model accuracy and analysis capabilities. AceVision will empower tennis players in Pakistan and beyond to train smarter, track progress objectively, and gain competitive insights that were previously accessible only through high-end, professional systems.

I'm a Full Stack Developer with practical experience in developing AI-powered web applications using modern frameworks such as the MERN Stack, FastAPI and Next.js. Skilled in building complete web solutions from frontend interfaces to backend services, with an emphasis on maintainable code, performance, and usability. Has worked on production-level systems involving AI-based feedback analysis, third-party API integrations, and data-driven dashboards for business insights. Comfortable working in collaborative development environments and experienced with version control using Git and GitHub. In addition to professional work, has completed multiple personal and academic projects that reflect strong technical foundations and an interest in applying AI to real-world web applications.