About Me

My fascination with AI began when I first trained a neural network to recognize handwritten digits. Watching a machine learn to see was nothing short of magical. That moment sparked a journey that has led me through the frontiers of deep learning, computer vision, and natural language processing.

Today, I specialize in developing efficient AI systems that can run on edge devices, making intelligence accessible everywhere. My research focuses on attention mechanisms in transformers and their applications to multimodal learning.

Beyond the code, I'm deeply committed to making AI more interpretable and ethical. I believe that the most powerful AI systems are those that humans can understand and trust.