I am currently employed as a Research Scientist at Meta, where I collaborate with the
Navigation team on the Facebook app. My primary focus is enhancing users' navigation experience
within the app by utilizing Generative AI (GenAI) and machine learning to suggest relevant Badging
and Notification signals.
I earned my Ph.D. in Computer Science in 2023, specializing in machine learning and computer vision,
with a specific emphasis on improving human-computer interaction. With over four years of
research experience, I excel in applying advanced data-driven methods and analytics to
derive valuable insights. My expertise spans across statistical analysis, supervised and
unsupervised machine learning (ML), deep learning (DL) algorithms, and signal processing. I have
successfully conducted classification and regression analyses on various data modalities.
In addition to my primary focus, my research delves into self-supervised learning for effective
representations of high-dimensional data and the integration of multiple data modalities to achieve
superior performance. I have authored more than 15
publications, with my work being cited over 1200 times. I am dedicated to
applying my knowledge and experience to drive innovation and advance the field of human-computer
interaction through the application of machine learning and computer vision technologies.
Apart from being a machine learning enthusiast and a web developer, I enjoy most of my time in cricket. Whenever I get any chance to play indoor or outdoor cricket, I rush myself to it. I have also been an U-16 player for Kathmandu during my school days. I have participated in inter-college cricket competitions from KEC too.
When forced indoors, I follow a number of sci-fi and thriller genre movies and television shows. I spend a large amount of my free time exploring the latest technological advancements in computer science.