740 N Pleasant St.
Amherst, MA 01003
Hi there! I am a third year MS/Ph.D. student at the College of Information and Computer Sciences at University of Massachusetts Amherst specializing in deep Learning, computer vision and speech processing. Currently, I’m working with Erik Learned-Miller and Madalina Fiterau on improving object detection by incorporating “visual common sense” using self-supervision.
In the past I have worked on applying deep learning to audio processing tasks such as emotion conversion and speaker/event identification as a research intern at Signify Research (formerly Philips Lighting) and at the Indian Institute of Technology at Mandi. I also worked as a software engineer at Seagate Technology prior to grad school. I got my bachelor’s degree in Electronics & Communication engineering from Manipal Institute of Technology in India.
In my free time, I love to cook gourmet dishes (especially those by Gordon Ramsay), play the guitar and listen to classic rock music (I’m a big fan of Queen). To know more about me, look at some of the projects I’ve done, or papers I’ve published. For more details, take a look at my CV.
|May 26, 2020||I will be joining Apple as a machine learning intern this summer working in the video computer vision group.|
|Sep 1, 2019||I will be TAing COMPSCI 589, the MS level Machine Learning course for Fall 2019.|
|Jun 17, 2019||Our paper on Speech Emotion Conversion using GANs was accepted to INTERSPEECH 2019 in the oral presentation track!|
|Apr 16, 2019||We presented our work in Perception Beyond the Visible Spectrum Workshop at CVPR2019. Find our spotlight talk here.|
|Apr 15, 2019||See our paper accepted at CVPR 2019 Worskshop on arXiv. Looking forward to attending the conference and presenting!|