As a passionate researcher in deep learning, I focus on cutting-edge areas like multimodal AI, responsible and safe AI, self- and semi-supervised learning, meta-learning, and optimization. My research is driven by a desire to uncover patterns in new datasets, even with limited prior data, and to contribute to the creation of novel research datasets that push the boundaries of AI.With 3 conference papers published and 2 journal papers under review, I’m committed to advancing the field through innovative approaches that merge theory and practical impact. I'm always excited to collaborate with like-minded researchers on pioneering AI solutions.