Ameer Hamza
Software Engineering Student | MERN Stack Developer | Flutter Developer | AI Enthusiast
Driven Software Engineering student skilled in MERN stack, Flutter, and AI. Eager to apply full-stack and mobile dev expertise to real-world internship projects.
About
Motivated and results-driven BS Software Engineering student in the 6th Semester at COMSATS University Islamabad, Sahiwal Campus, with a solid foundation in full-stack web and mobile application development. Proficient in the MERN Stack (MongoDB, Express.js, React.js, Node.js) and cross-platform mobile development using Flutter and Dart. Experienced in building AI-powered systems leveraging Python, OpenCV, and Machine Learning techniques. Demonstrates strong problem-solving abilities, software engineering best practices, and collaborative teamwork. Actively seeking an internship opportunity to contribute technical expertise to real-world software development projects and accelerate professional growth.
Skills
Languages: English (Advanced), Urdu (Native)
Education
BS Software Engineering
COMSATS University Islamabad, Sahiwal Campus
ICS – Intermediate in Computer Science
Daanish Boys School Chishtian
Matric – Secondary School Certificate
Daanish Boys School Chishtian
Experience
Academic Experience · COMSATS University Islamabad, Sahiwal Campus
2023 – PresentEngineered full-stack web applications using MERN Stack technologies; Developed cross-platform mobile applications using Flutter and Dart; Built AI and computer vision systems utilizing Python and OpenCV; Collaborated in team-based academic projects following SDLC methodologies.
Projects
Rajput Express – Transport Management System
Engineered a full-stack transport and logistics management platform using the MERN stack to streamline booking and scheduling operations. Implemented secure JWT-based authentication and role-based authorization.
View project →AI Fire Detection System
Developed an AI-powered fire and smoke detection system utilizing computer vision and image processing techniques. Trained machine learning models to identify fire patterns in real-time video streams.
View project →Food Delivery App
Developed a cross-platform mobile food delivery application with complete user authentication and order management using Flutter, Dart, and Firebase.
View project →Easy Task Management App
Developed a cross-platform productivity application for task scheduling, reminders, and deadline management. Integrated Firebase for real-time data synchronization.
View project →Automatic Number Plate Detection System
Developed an intelligent vehicle number plate detection and recognition system using computer vision, OpenCV, and OCR techniques for real-world applications.
View project →