I am a PhD Student at McGill University, School of Computer Science and a Student Researcher at MILA Quebec AI Institute, advised by Professor Siva Reddy and Professor Vered Shwartz.
My research centers on socio-technical alignment in AI, aiming to develop language and multimodal models that are safe, inclusive, and culturally sensitive. I focus on incorporating diverse values and pluralistic preferences, addressing the limitations of existing alignment techniques that often overlook cultural nuances and value pluralism. To ensure these models align with the needs of a global user base, my research also involves designing evaluation frameworks that assess real-world impact, prioritize transparency, and promote robustness in alignment practices.
I earned my Masters degree in Computer Science from University of British Columbia, supervised by Prof. Vered Shwartz. I worked on exploring the cultural competence of language and multimodal models.
Prior to starting my graduate studies, I spent a year at NeuralSpace as an Applied Research Scientist, where I contributed to building AutoNLP solutions for 80+ languages. I have also been a part of various academic labs, DeCLaRe Lab at SUTD, MIDAS Lab, at IIIT Delhi, Language Technologies Lab and Software Engineering Lab at IIIT Hyderabad. In 2020, I graduated with a Bachelors in Computer Science and a Minor in Mathematics from Shiv Nadar University, India and completed my bachelors thesis with MIDAS Lab, IIIT Delhi.
If you are reading this, I would love to talk to you! I am always looking for opportunities to collaborate. Also, my inbox is open if you have any questions about student life at UBC, McGill/MILA or Canada in general. Message me on Twitter or send me an email.
PhD in Computer Science, 2024-2028 (Expected)
McGill University & MILA
Masters in Computer Science (Thesis Direction), 2022-2024
University of British Columbia, Vancouver
BTech. in Computer Science and Engineering, 2016-2020
Shiv Nadar University