Computer Science • AI • Software Engineering • UT Dallas
I am Muhammad Amsal Imran, a Computer Science student at The University of Texas at Dallas with a strong foundation in software engineering, artificial intelligence, and system-level problem solving. I am passionate about building intelligent digital systems that are not only functional but capable of creating real-world impact.
My experience spans across developing AI-driven applications, automation tools, and scalable software solutions using modern technologies such as Python, JavaScript, and machine learning frameworks. I focus on writing clean, efficient, and maintainable code while ensuring performance and usability are never compromised.
Beyond technical skills, I bring a mindset of discipline, adaptability, and continuous growth. I thrive in collaborative environments and actively seek opportunities where I can contribute, innovate, and evolve as a software engineer. My long-term goal is to design and build systems that solve meaningful problems at scale.
Strong ability to break down complex problems into efficient solutions.
Experience building intelligent systems and automation-driven applications.
Focused on scalable architecture, performance, and clean structure.
Python, JavaScript, C++, HTML, CSS
OpenAI API, TensorFlow, Automation Systems, Computer Vision
Figma, Grafana, GitHub, VS Code, UI/UX Prototyping
Built intelligent applications with multi-screen flows, response checking, and user-focused design.
Worked on backend and telemetry-style dashboard systems with performance tracking and AI-assisted overlays.
Created projects combining engineering, sustainability, and AI-driven thinking to solve real-world problems.
An AI-powered campus navigation assistant designed to help students move around UT Dallas with a modern, intuitive, and visually polished experience.
A smart object detection and scanning application using AI tools, recognition features, and accessibility-focused ideas.
A sustainability-based innovation that explores converting dead leaves into usable paper through an engineered process.
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