I’m Ajay Narayanan, a master’s student of Robotics, Cognition, Intelligence at TUM. I’m interested broadly in Machine Learning and AI, and specifically in Natural Language Processing and Graph Neural Networks. For my Master’s Seminar, I researched GNN-based methods in NLP, specifically related to the problem of multi-hop reading comprehension. As part of the research, we did an extensive literature survey on various GNN and non-GNN-based methods for the problem. For my Practicals, I worked on Graph-based Problem solving with LLMs and benchmarked those methods against well-known datasets. Ultimately, we created a runnable repository for future researchers to extend and use. In addition, I have over 6 years of professional experience in software development and working with agile teams.