Sivajeet Chand

Sivajeet Chand is a Researcher at the Technical University of Munich, affiliated with the Chair of Software & Systems Engineering. He began his PhD in July 2024 under the supervision of Prof. Dr. Alexander Pretschner. His research focuses on Generative AI and Large Language Models (LLMs) for code migration and modernization. He holds a master's degree in Software Engineering and Technology from Chalmers University of Technology, Sweden, and has prior industry experience as a Data Engineer at Volvo Group and as a student engineer at Aptiv and Good Solutions.

His research interests span Generative AI, LLMs, Software Engineering, and Code Migration. Recent publications highlight his work on design pattern recognition using LLMs (2023), automating requirements review in the automotive sector (2024), and empirical evaluations of LLMs in code migration (2025). His projects often intersect with automotive industry applications, code refactoring, and AI-assisted software development.