I build systems that watch, decide, and respond — from camera-based recognition systems to AI-powered tools that understand natural-language commands. My work sits at the intersection of software engineering, machine learning, and real-world problem solving.
I’m a recent graduate of Darolfonoon Vocational and Technical High School, where I studied Computer Science with a focus on software and computer systems. During my studies, I moved from learning how computers and networks work to building software that applies those concepts in practice — from attendance systems and AI-powered tools to applications developed through independent projects and technical coursework.
My strongest interests lie in Artificial Intelligence, Machine Learning, Computer Vision, and intelligent software systems. I’m particularly interested in how AI can make software more adaptive, context-aware, and capable of working alongside people rather than simply acting as a conventional tool.
I learn primarily by building. Each project gives me an opportunity to move beyond theory, experiment with new technologies, solve unfamiliar problems, and understand what it takes to turn an idea into a working system.
My path has been driven less by following a fixed syllabus and more by building things, breaking them, and learning what was needed to make them work.
Started with programming fundamentals, computer systems, networking, and software development.
Moved from exercises to applications, websites, automation tools, and independent software projects.
Started exploring computer vision, machine learning, natural-language interaction, and AI-powered systems.
Focused on strengthening my foundations while turning larger ideas into practical, testable systems.
Verified certificate demonstrating completion of the course focused on artificial intelligence concepts and implementation with Python.
Verify Certificate ↗I am interested in the intersection of intelligent computation, human interaction, and practical software systems.
Designing systems that can reason, adapt, and assist with complex real-world tasks.
Understanding visual information and turning camera data into useful system decisions.
Building stronger foundations in learning algorithms, model development, and evaluation.
Exploring systems that understand language and connect human intent to software actions.
Making intelligent systems more useful, understandable, adaptive, and natural to interact with.
Combining software engineering and AI into reliable systems that solve practical problems.
A selection of systems I have worked on. More detailed case studies and repositories will be added as projects are cleaned, documented, and made reproducible.
A camera-based attendance platform designed to detect and log presence, absence, and lateness across connected cameras, identify unfamiliar faces, and provide administrative controls for working hours.
A command-line assistant designed to connect natural-language instructions with real terminal operations, allowing users to describe what they want and have the system translate that intent into actions.
A camera-based attendance platform designed to detect and log presence, absence, and lateness across connected cameras, identify unfamiliar faces, and provide administrative controls for working hours.
My next stage is about going deeper rather than simply adding more technologies: stronger Computer Science foundations, stronger AI fundamentals, better engineering practices, and projects that are reliable enough to be studied, tested, and shared.
For academic opportunities, technical collaboration, or simply to see what I am working on, the best place to start is GitHub or LinkedIn.