I am a research scientist at Salesforce AI, where I work on building reliable multimodal foundation models. I received my PhD in Computer Science from Georgia Tech in December 2023, where I was advised by Judy Hoffman. The focus of my PhD was on developing reliable computer vision systems that can generalize and adapt to changing conditions.
I earned my Master's in CS (awarded the MS Research
award) in 2019 at Georgia Tech, where I was advised by Devi Parikh and worked on developing visual conversational agents.
In grad school, I've had the opportunity to intern at NVIDIA (with Sanja Fidler), Salesforce (with Nikhil Naik), and Curai (with Anitha Kannan). Before that, I've had stints as a research assistant at Virginia Tech (with
Dhruv Batra) and Adobe, and as a mentor for Google Summer of Code. I received my Bachelor's degree in Computer Science from BITS
Pilani in 2015.
In my free time, I enjoy reading, running, soccer, and playing the guitar.
News
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[Oct '24] New preprints on training and evaluating multimodal foundation models out!
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[Jan '24] Defended my Ph.D. thesis and started a new role as a Research Scientist at Salesforce AI!
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[Aug '23-Mar '24] Invited talks on ''Reliable Computer Vision'' at Caltech, AWS Responsible AI, UC Berkeley, and CMU.
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[Jun '22] Gave a tutorial on Human-Centered AI for Computer Vision at CVPR 2022.
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[May '22] Co-organizing Learning from Limited and Imperfect Data at ECCV 2022.
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[Oct '21] Recognized as an outstanding reviewer at NeurIPS 2021 and CVPR 2021.
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[Jan '21] Head TA for Intro to Computer Vision, Spring 2021.
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[May '19] Completed my Master's degree!
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[Mar '19] Awarded the College of Computing's MS Research award (1 student annually).
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Publications
Projects
Fabrik: An Online Collaborative Neural Network EditorReport Code |
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PyTorch implementation of Learning Cooperative Visual Dialog Agents with Deep Reinforcement LearningCode |
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Adobe Captivate Prime |
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Automated camera calibration |
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KeyframeCutDemo Blog |
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