Building intelligent systems, data-driven products, and modern digital experiences with a focus on practical AI and software engineering.
Data Science · AI · Software Engineering
A portfolio focused on turning technical ideas into useful digital products and intelligent systems.
I work across data science, artificial intelligence and software development, combining analytical thinking with practical engineering to build systems that solve real problems.
From data processing and machine learning to backend development and interactive web interfaces, the goal is simple: build technology that is useful, scalable and easy to understand.
Turning data into measurable insights, models and decisions.
Designing practical intelligent systems around real-world problems.
A growing technical stack spanning data, AI, backend systems and modern web development.
Replace these cards with your final projects, GitHub repositories and live demonstrations.
An intelligent traffic monitoring concept focused on vehicle detection, traffic metrics and data-driven visualization.
A practical machine learning workflow combining data preparation, modeling, evaluation and an interactive interface.
A software project focused on secure processing, user interaction and practical application design.
A timeline that can later be populated with internships, university work, leadership and major milestones.
Building projects around machine learning, computer vision, analytics and software systems.
Developing a strong foundation in programming, statistics, databases, machine learning and data-driven problem solving.
Continuously experimenting with new technologies and turning ideas into projects.