Research Interests: Deep Learning | Large Language Models (LLMs) | Multimodal LLMs | Foundation Models | Conversational AI | Vision and Language | Visual Grounding | Natural Language Processing | Computer Vision | Machine LearningGScholar: https://scholar.google.com/citations?user=aSMFGScAAAAJ&hl=enPast: ServiceNowResearch | MILA | AdobeResearch | Google Summer of Code | Xerox Research (XRCE) | IIT DelhiI am interested to build machines that can see and talk. My research mostly focused on visual grounding (symbol grounding) and context modeling (communicative grounding) in multi-modal visual conversational agents using Multimodal LLMs. Research challenge participation: Alana @ Alexa Prize Socialbot Challenge' 18 | Pikabot @ Visual Dialog Challenge' 18 | NLE @ E2E NLG Challenge' 17Please visit my homepage (https://shubhamagarwal92.github.io) for more information. Also see git (handle: shubhamagarwal92) for some of my public repositories. Some authored blogs demonstrating my research as well as coding style:1. List of some nice Github PRs and my contributions. 2. How-to-do-research https://medium.com/@shubhamagarwal92/how-to-do-research-a-ph-d-student-narrative-bca8dc2dd39e)3. Code-like-a-pro(-ish) - Featured by AnalyticsVidhya https://medium.com/@shubhamagarwal92/code-like-a-pro-ish-right-from-101-tools-from-a-deep-learning-perspective-34d8df1e38e4. How-to-do-a-literature-review https://medium.com/@shubhamagarwal92/how-to-do-a-literature-review-research-101-5c5206039c32Open source project: Sample dashboard for Demographics of India (link: https://shubhamagarwal92.shinyapps.io/shinyapp/)Please get in touch if you would like to collaborate on an interesting idea