My interest in computer science started early — through math competitions, coding exercises at BİLSEM, and eventually building my first real projects. But what keeps me going isn't just writing code. It's the idea that software can think — that a system can learn from data, recognize patterns, and make decisions in ways that feel almost alive.

That's what draws me to machine learning and artificial intelligence. Not the hype around it, but the fundamental questions: how do models generalize from examples? What makes a neural network understand language or recognize images? I'm at the beginning of this path — but I'm moving deliberately. Python gave me the foundation. Now I'm working toward the math and tools that make ML possible.

My strongest subjects — mathematics and physics — aren't separate from this. They're the backbone of it. Linear algebra, calculus, probability: the same rigor that helped me score 145/150 at Waterloo is the same rigor that will let me build things that actually work.