Haseeb Raza is a student at Eötvös Loránd University (ELTE), Faculty of Informatics, with a strong academic focus on data science, machine learning, and artificial intelligence. He is currently working as an intern at the ELTE Research Centre for Computational Social Science during the 2025/26 academic year, where he is contributing to a research project involving the design and implementation of agent-based evaluation pipelines across multiple large language models (LLMs).

Alongside his research activities, he is academically active within the university as a research assistant on several projects at the Faculty of Informatics and as a senior student and demonstrator, supporting students in technical and methodological subjects. He is also the founder and leader of the ELTE Data Science Club, a student initiative dedicated to applied data science, machine learning, and AI.

His primary research interests include data science, machine learning, natural language processing, agent-based systems, and large language models. He intends to pursue an academic or research-oriented career in data-driven and AI-focused environments.