Mahade Hasan

Mahade Hasan

Ph.D student

I am a Doctoral Researcher at GPT Lab Tampere, where my primary research focuses on the innovative application of Open-Source Large Language Models (LLM’s) within Multi-Agent environment to refactor legacy codebases. My work aims to explore and develop innovative methods to enhance and automate the refactoring process, contributing to the evolution of software engineering practices. 

Currently, I am pursuing my Ph.D. at Tampere University, where I continue to expand my expertise in this field. I hold a Master’s degree in Data Science from Tampere University, which has provided me with a solid foundation in machine learning, data analysis, and computational methods, which are crucial for advancing research in Generative AI within the field of software engineering. 

Before joining GPT Lab Tampere, I gained valuable industry experience as a Trainee Machine Learning Engineer at NOKIA, where I developed AI solutions to real-world challenges. Additionally, I have a background in academia, having served as a Lecturer in the Department of Computer Science and Engineering at Daffodil International University, where I was involved in teaching and mentoring students in various aspects of computer science. 

 

My diverse experience across industry and academia equips me with a unique perspective on the challenges and opportunities in software engineering and artificial intelligence. At GPT-Lab Tampere, I am committed to advancing research that bridges the gap between theoretical innovation and practical application. 

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