About
I'm a PhD student in NLP at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), supervised by Prof. Kentaro Inui. My research centers on mechanistic interpretability: probing and steering the internal representations of LLMs and vision-language models to understand numerical reasoning, counting, and the conditions under which model evidence collapses.
Alongside my doctoral work I am the founder of DataBayt.AI, building open-source software and datasets for the AI community. I collaborate with the RIKEN Advanced Intelligence Project, among other collaborators including Imperial College London and King's College London. I previously worked on generative AI for low-resource languages, machine translation, and large-scale dataset design.
Research Interests
Selected Publications
review
2025
2025
2024
Invited Talks
Experience




Education


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