About
I am a PhD researcher co-advised by Prof. Mauro Cherubini from UNIL and Prof. Dinesh Babu Jayagopi from IIIT Bangalore, designing and building tools to help job seekers overcome the challenges of unemployment with a focus on interview training. My research combines Human Computer Interaction, Natural Language Processing, Multimodal Processing and Explainable AI together with insights from psychological theories. I am specifically focused on understanding the impact of automated training systems on job seekers' motivation and performance. Currently, I am exploring novel ways to use and evaluate Explainable AI in feedback and training systems. Broadly, I'm interested in AI explainability and transparency, aiming to enhance individuals' ability to interact with and learn from AI systems, thereby making a tangible impact on them.
I completed my Master's by Research in AI at IIIT Bangalore where my thesis focused on improving and automating asynchronous video interviews using Machine Learning, Natural Language Processing and Generation, Multimodal Processing. My industry background includes research experience at Accenture Technology Labs and HP Inc R&D Labs working on different NLP problems. Prior to my Master's, I worked at Fidelity Investments for 2 years.
When not working, I enjoy doing the classical dance form of Kathak and getting to know about zero-waste / sustainable practices.