I’m an MSc Advanced AI student passionate about understanding why AI models work—and when they fail. I enjoy breaking down complex concepts, reading research papers, and experimenting with models to simplify and internalize ideas. My interests lie in AI and ML, focusing on generalization, scaling laws, and structured learning, bridging classical theory with modern deep learning. I thrive on connecting theory with practice and aim to contribute to research that advances AI’s capabilities, uncovering principles that help machines learn more efficiently and reliably while pushing the boundaries of what intelligent systems can achieve.