My research focuses on computer vision, deep learning, and AI, with an emphasis on improving model robustness. I have studied how diverse visual transformations affect face recognition networks, enhancing their adaptability in real-world scenarios. My recent interests include interpretable AI, fair AI, and generative models for practical applications. With a background in machine learning and data analysis, I aim to tackle challenges in AI and computer vision to drive impactful advancements.