Passionate AI researcher with a strong background in deep learning, computer vision, and multimedia. Extensive experience in developing and deploying machine learning models for multi-modal learning, few-shot learning, and domain adaptation. Published research at top-tier conferences, including CVPR, CHI, IJCAI, and WACV, with contributions in knowledge disentanglement, efficient adaptation mechanisms, and AI-driven applications. Skilled in building custom datasets, optimizing model performance, and deploying AI solutions in diverse environments. Experienced in mentoring students, leading workshops, and collaborating on interdisciplinary projects. Proficient in Python, PyTorch, TensorFlow, and various development frameworks. Currently completing a PhD in AI, focusing on lifelong continual test-time adaptation. Looking for opportunities to drive AI innovation and research excellence at TikTok.