About me

I am a graduate student in Computer Science at Stanford University. I am passionate about making machine learning research come to life with practical, reliable and safe deployed solutions.

Previously, I was a Pre-Doctoral Researcher at Google Research India, where I worked primarily on unsupervised domain adaptation. In August 2021, I graduated from the Indian Institute of Technology Bombay (IIT Bombay) with a B.Tech. in Computer Science and Engineering and a Minor in Statistics. I received the Research Excellence Award for my B.Tech. thesis on Deep Learning for Medical Image Enhancement under the guidance of Prof. Suyash P. Awate. In the summer of 2020, I interned at Google Research India and worked on form structure recognition. In winter 2019, I interned at Aarhus University, Denmark and worked with Prof. Panagiotis Karras on devising a model for content-aware influence maximization in social networks. In the summer of 2019, I interned at the National University of Singapore, where I worked on utilizing user input effectively for interactive image segmentation with Prof. Angela Yao.

My research interests lie in Computer Vision and Machine Learning.

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