Machine Learning Analytics Lead
AitoeLabs, India
Currently, I am a second-year Masters Student in Computer Science at Columbia University in the City of New York. My area of concentration is Machine Learning. My work mainly lies at the intersection of Machine Learning and Computer Vision. Under the supervision of Prof. Peter Belhumeur, I'm currently working on few-shot image classifcation for large output spaces. We aim to improve large-scale classification by learning representations which utilize the underlying relationships/structures amongst the classes. Previously I've worked with Prof. John Kender and Prof. Hod Lipson.
Prior to joining Columbia, I led the Machine Learning Anaytics team at AitoeLabs. My work at AitoeLabs focused on the application of Deep Learning to solve Computer Vision tasks in the surveillance domain. My research at AitoeLabs focused on using submodular optimization techniques to perform video summarization.
My research interests lie in using Deep Neural Networks to solve Computer Vision tasks. I'm interested in understanding visual media better by identifying the relationships between objects, that appear in the media, in a self-supervised manner.
AitoeLabs, India
Barclays Technology Centre, India
K. J. Somaiya College of Engineering, India
Master of Science in Computer Science
The Fu Foundation School of Engineering and Applied Science
Columbia University in the City of New York
Bachelor of Engineering in Information Technology
K. J. Somaiya College of Engineering
(Autonomous College affiliated to University of Mumbai)
Primarily my research focus has been on using Machine Learning techniques to solve Computer Vision tasks. I am extremely interested in understanding how models can learn from less data, without suffering a significant drop in accuracy.
Over the past couple of years, I have been exploring the subject of Submodular Optimization and how it can be used to solve tasks such as visual summarization and data subset selection. Coupling submodular optimization with machine learning, opens possibilities to solve computer vision problems with less, but diverse and representative, data.
Course Assistant for the Graduate Level course "Applied Deep Learning" taught by Prof. Joshua Gordon
Lecturer of Seminar organized by the Department of Information Technology at K. J. Somaiya College of Engineering.
Instructor of Workshop organized by the Computer Society of India, K. J. Somaiya College of Engineering Chapter.
Instructor of Workshop organized by the Computer Society of India, K. J. Somaiya College of Engineering Chapter.
Instructor of Workshop organized by the Computer Society of India, K. J. Somaiya College of Engineering Chapter.
Instructor of Workshop organized by the Computer Society of India, K. J. Somaiya College of Engineering Chapter.
Please feel free to reach out to me if you have any questions regarding my work or if you just want to talk about interesting stuff in Computer Vision and Machine Learning.