Shubham Agarwal — AI Researcher
I bring over 10 years of research experience across academia and industry after my undergrads, with a strong focus on training frontier models for multimodal and multilingual representation learning. I have been fortunate enough to have my work also published at top venues like CVPR, ICLR, TMLR, ACL, EMNLP, and NeurIPS. Past: ServiceNowResearch | MILA | AdobeResearch | Google Summer of Code (GSoC) | Xerox Research (XRCE) | IIT Delhi GScholar: https://scholar.google.com/citations?user=aSMFGScAAAAJ&hl=en Research Interests: Large Language Models (LLMs) | Cultural LLMs / VLMs | Multimodal LLMs | Foundation Models | Conversational AI | Vision and Language | Deep Learning Research challenge participation: 007 @ English-to-lowres Multimodal Machine Translation Task’ 24 | Alana @ Alexa Prize Socialbot Challenge' 18 | Pikabot @ Visual Dialog Challenge' 18 | NLE @ E2E NLG Challenge' 17 Training frontier multilingual AI models for Indian languages. My research mostly focused on visual grounding (symbol grounding) and context modeling (communicative grounding) in multi-modal visual conversational agents using Multimodal LLMs. Broadly, I am interested to build machines that can see and talk. Please 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-34d8df1e38e 4. How-to-do-a-literature-review https://medium.com/@shubhamagarwal92/how-to-do-a-literature-review-research-101-5c5206039c32 Open 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
Stackforce AI infers this person is a leading expert in AI research with a focus on multilingual and multimodal systems.
Location: Bengaluru, Karnataka, India
Experience: 5 yrs 11 mos
Skills
- Large Language Models (llm)
- Conversational Ai
- Computer Vision
Career Highlights
- Over 10 years of research experience in AI.
- Published work in top venues like CVPR and NeurIPS.
- Expertise in multilingual and multimodal representation learning.
Work Experience
Krutrim
Staff Research Scientist (2 yrs 1 mo)
ServiceNow Research
Visiting Researcher (9 mos)
Pulse Labs
Research Scientist (1 yr 11 mos)
Adobe
Research Intern (3 mos)
Research Intern (3 mos)
Google Summer of Code
Google Summer of Code (GSoC) Student (3 mos)
Xerox
Research Intern (5 mos)
TrulyMadly.com
Data Scientist (1 yr 1 mo)
Indian Institute of Technology, Delhi
Undergraduate Teaching Assistant (10 mos)
Télécom Bretagne (ex ENST Bretagne, école nationale des télécommunications de Bretagne)
Research Intern (2 mos)
ORACLE FINANCIAL SERVICES SOFTWARE LIMITED
Project Trainee (2 mos)
IDRBT
Research Intern (2 mos)
Avanti Fellows
Mentor (10 mos)
Education
Postdoctoral Researcher at Mila - Quebec Artificial Intelligence Institute
Integrated Masters (5 years) at Indian Institute of Technology, Delhi
Doctor of Philosophy - PhD at Heriot-Watt University
Master’s Degree at Grenoble INP - UGA
12th Standard at Wood Row School
10th standard at Bishop Conrad School
