Rajarshi Roy

I am currently an AI Research Intern at the Artificial Intelligence Institute of South Carolina, where I am under the mentorship of Prof. (Dr.) Amitava Das. My work focuses on testing the capabilities of Large Language Models, particularly their ability to maintain context alignment while generating responses. Additionally, I have taken on the role of Web Chair for the Defactify-4.0 Workshop at AAAI’25, where I help organize shared tasks and guide participants, ensuring a smooth and productive experience.

In my academic journey at Kalyani Government Engineering College, I am pursuing a B.Tech in Computer Science and Engineering, maintaining a commendable CGPA of 8.9. I have also engaged in personal projects that showcase my skills in developing scalable applications. One notable project is a Game Recommender App powered by Google Gemini, which suggests games to users based on their preferences. I implemented various features, including a user-friendly chatbot interface and continuous improvement through user feedback.

My technical expertise spans a wide range of tools and frameworks, including Python, TensorFlow, and AWS, which I leverage to create innovative solutions. I am passionate about utilizing my skills in machine learning and AI to contribute to impactful projects and drive technological advancements.