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I am a first-year MSR student at Carnegie Mellon University. I graduated from Indian Institute of Technology Jodhpur, India in 2023 with a B.Tech in Computer Science and Engineering (Department Rank 2). Previously: Research Fellow @ Intel Labs; Senior Analyst @ Media.net (previously Directi)
Generative Modeling
Weakly Supervised Learning
Few-shot and Meta-learning
Domain Adaptation
Object and Activity Detection
Semantic Segmentation
Efficient Attention Mechanisms
Multi-modal Learning
Email / Curriculum Vitae (CV) / Google Scholar / LinkedIn / GitHub |
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I worked with Prof. Richa Singh and Prof. Mayank Vatsa as an undergraduate researcher at the Image Analysis and Biometrics Lab, IIT Jodhpur. I also worked closely with Prof. Saket Anand (IIIT-Delhi) and Prof. Sudeep Sarkar (USF, Tampa). I have contributed first-author papers to AAAI, IJCAI, and ICLR. Collaborations during undergrad include: Prof. Timothy Hospedales (Machine Intelligence Group, University of Edinburgh), Prof. Yogesh Rawat (UCF), Vaibhav Vineet (Microsoft Research, Redmond), Prof. Venkatesh Babu (IISc), and Dr. Angshuman Paul (IIT Jodhpur). I also interned at PrithviAI and iHub-Drishti (DST, India) on an automatic number plate detection system under Dr. Kaushal A. Desai and Prof. Santanu Chaudhury. |
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Real-world perception systems operate in constantly changing environments with unpredictable data shifts, highlighting the need to build systems that can generalize beyond training data. Developing these robust solutions is particularly important for applications like autonomous vehicles and healthcare, where obtaining sufficient labeled data is difficult and supervised learning methods fall short. Inspired by human cognition, I aim to develop AI systems that interpret complex environments with minimal supervision, adapting effectively to new contexts. Motivated by these challenges, I am interested to work in the areas of : Machine Learning, Computer Vision, and its application in Robotics. |
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I enjoy badminton, hitting the gym for weight training, exploring music, and traveling to experience new places and cultures. |
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Template inspiration: Jon Barron |