I am an AI ethics and critical design researcher, broadly interested in Majority World perspectives in AI. Currently, as a PhD candidate at the University of Cambridge, I investigate epistemic implications of generative AI that can critically inform sociotechnical design conversations in/around AI, particularly in Global South contexts. I work with Cambridge Collective Intelligence and Design (CamCID) Group at the Centre for Human Inspired AI (CHIA) and Critical Design Studio at the Computer Lab.  My research has found home in top journals, such as Big Data and Society, and at the same time in leading computer science venues, including ACM FAccT and AAAI AIES. I collaborate with academics across the world and global organisations, such as Microsoft and UNDP as well with as grassroot non-profit and volunteer organisations in the Global South for my research.  University of Cambridge has recognised my work as an impactful case study in their annual investment report in 2025, following a research spotlight from my college, Trinity Hall.

Beyond my PhD  research, I serve on the committee for the  early career community at CHIA and contribute to an AI@Cam project around ethically rooted AI for public value.  I also hold an honorary position of Senior Fellow in Majority World AI at the Tech Global Institute.  I am a Gates Cambridge Scholar (2024), Trinity Hall research scholar (2023), and Commonwealth scholar (2021). Previously, I worked and studied for my MPhil in AI Ethics at the Leverhulme Centre for Future of Intelligence, University of Cambridge after finishing my Masters at the Centre for Interdisciplinary Methodologies, University of Warwick.  Before coming to the UK, I trained as an engineer at BUET, worked as a researcher at BIGD, BRAC University and co-developed a Digital Strategy Primer for Bangladesh by collaborating with the country's government and the Digital Pathways initiative, University of Oxford. Through my current research, I call for more inclusive and human-centred AI design, development and policies to reduce AI's colonial harms, particularly in the Global South.