I am deeply passionate about the field of Artificial Intelligence and Machine Learning, with a strong inclination toward Deep Learning, Computer Vision, Natural Language Processing, and Audio Intelligence. I enjoy exploring how models perceive and generate human-like understanding across modalities. Recently, I’ve been particularly fascinated by Generative AI, including diffusion models, LLMS and transformer-based architectures, and how they can be applied to solve real-world problems in creative and secure ways. My research interests lie in building robust, interpretable, and cross-modal AI systems that can learn efficiently from limited data while aligning with human values.