Premtim is a PhD student from Germany, currently pursuing his PhD in Computer Science at Technische Univerität Berlin. His research is centered on the design and evaluation of computational frameworks for automated fact-checking, leveraging Large Language Models (LLMs) to address challenges in misinformation and disinformation detection. His interest spans adjacent application domains, such as argument mining and propaganda detection. He is very interested in the application of LLMs for synthesizing training data for low resource tasks as well as the evaluation of LLM generated outputs. As part of his academic journey, he is currently interning at NII Yamagishi Lab, where he is contributing towards investigating the impact of knowledge representations and retrieval-augmentation strategies for fact-checking benchmarks across LLMs of varying size.