About me

In July 2024, I started my PhD at the Chair of Software and Systems Engineering under the supervision of Prof. Dr. Pretschner at the Technical University of Munich. In my research, I am exploring the potential of Generative AI, particularly Large Language Models (LLMs), for code migration and modernization.

I hold a master's degree in Software Engineering and Technology from Chalmers University of Technology, Sweden. Prior to starting at the chair, I was employed as a Data Engineer at Volvo Group. Additionally, I have gained experience as a student engineer at Aptiv and Good Solutions.

Thesis Topics

If you are interested in any of the following open topics, please do not hesitate to contact me. Be sure to include your current CV and transcripts, as well as a short motivation letter stating when you would like to start your thesis. You are also welcome to suggest your own topic.

Ongoing / Assigned 

1. Empirical evaluation of LLMs for translating C/C++ code to Rust.                                      2. Systematic Literature Review on Code Migration using LLMs

-  Master's Thesis -  Master's Thesis

Completed 

1. Evaluating and Improving the Effectiveness of an AI-assisted tutoring system.  2. Improving the Efficiency of an AI-assisted tutoring system.  3. Comparative Analysis of Large Language Models for Automated Code Refactoring. (with RW)

-  Master's Thesis -  Master's Thesis -  Master's Thesis

 

Teaching

Semester	Course
Summer Semester 2025	Requirements Engineering Requirements Engineering (Elite Graduate program)

Publications

Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, and Darko Durisic. Design pattern recognition: a study of large language models. Empir Software Eng 30, 69 (2025). https://doi.org/10.1007/s10664-025-10625-1

Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, and Darko Durisic. 2023. Comparing Word-Based and AST-Based Models for Design Pattern Recognition. In Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering(PROMISE). Page: 44 - 48. 

Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, and Miroslaw Staron. Design Patterns Understanding and Use in the Automotive Industry: An Interview Study. International Conference on Product-Focused Software Process Improvement(PROFES). Page: 301 - 319. 

Sivajeet Chand, Chang Li, CM Montes, B Cabrero-Daniel, J Horkoff. Automating Requirements Review in the Automotive Sector: A Tailored AI Approach 2024 IEEE 32nd International Requirements Engineering Conference (RE). Page: 492 - 493.