About

Hi, and welcome! I am a Master’s student in Artificial Intelligence and Data Science with a background in Mathematics and Computer Science. I am interested in understanding how intelligent systems work and how data can be used to solve real-world problems.

I created this blog to document my learning journey and share useful knowledge with students, developers, and anyone curious about Artificial Intelligence and Data Science. I believe that understanding a concept means going beyond the theory: exploring the mathematics, experimenting with code, and learning from the results.

Here, you will find articles about Machine Learning, Data Science, Python, Deep Learning, Computer Vision, Generative AI, and software development. I also share practical projects, code examples, explanations of research papers, and resources that make technical topics easier to understand.

My approach is to keep things practical, clear, and honest. I aim to explain not only how a method works, but also its assumptions, limitations, and potential applications. When I share an experiment or project, I want readers to understand what I built, what I tested, and what I learned.

I am continuously learning, experimenting with new technologies, and improving my skills. This blog is a place to turn that process into useful resources for others who are exploring the same fields.

Whether you are a student, a beginner in programming, or someone interested in intelligent systems, I hope you find something useful here. Let’s learn, build, and explore the world of AI together.

What you will find here

Xray AI Lab covers mathematics, Python, data science, machine learning, deep learning, computer vision and language models. Each article states what was tested and what was not. If you find a mistake, please tell me.