Shubham Agarwal
Staff Research Scientist at Krutrim
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolShubham Agarwal is a Staff Research Scientist and deep learning researcher based in Bengaluru, with nearly a decade of experience bridging industry and academia on multimodal and multilingual foundation models. He has driven state-of-the-art work—winning the English-to-low-resource multimodal translation task at EMNLP 2024 and publishing multimodal VLM research at NeurIPS—while collaborating with MILA and ServiceNow on LLMs for multi-document summarization and vision-language applications. His background spans applied product research (Pulse Labs, Adobe) and hands-on full-stack contributions to open-science tools like the PEcAn Shiny visualizer, reflecting a rare mix of model research, UX-minded engineering, and data visualization. Trained at IIT Delhi and with doctoral work in computer science, he consistently moves ideas from prototype to peer-reviewed publication and production features. Colleagues would note his strength in integrating LLM-driven insights into interactive analytics and his focus on Indian languages in multimodal systems.
9 years of coding experience
4 years of employment as a software developer
10th standard, PCM, 94%, 10th standard, PCM, 94% at Bishop Conrad SchoolHeriot-Watt University Edinburgh CampusPostdoctoral Researcher, Artificial Intelligence, Postdoctoral Researcher, Artificial Intelligence at Mila - Quebec Artificial Intelligence Institute12th Standard, PCM, 93.4%, 12th Standard, PCM, 93.4% at Wood Row SchoolIndian Institute of Technology Delhi (IIT Delhi)Master’s Degree, Data Science, 15.3 (US 4.0), Master’s Degree, Data Science, 15.3 (US 4.0) at Institut polytechnique de Grenoble
English, Hindi
Stackoverflow
85reputation
16kreached
0answers
3questions
Github Skills (14)
data-visualizations10
shiny10
data-visualisation10
data-visualization10
dplyr10
ggplot10
plotly10
r10
data-analysis9
amazon-sagemaker6
igraph6
docker6
amazon-web-services6
amazon-s36
Programming languages (11)
Github contributions (5)
PecanProject/pecan
May 2017 - Aug 2017
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:44 commits, 4 PRs, 6 comments in 3 months
Contributions summary:Shubham primarily contributed to the development of a Shiny application for visualizing model outputs. Their work included refactoring code to load variables efficiently and implementing features to handle multiple workflow and run IDs, thus increasing the application's flexibility. Furthermore, they integrated a chart type toggle and external data loading, enhancing the application's user experience and analytical capabilities.
forecastingplantspecanbioinformaticscyberinfrastructure
shubhamagarwal92/contribs_PRs
Mar 2020 - Nov 2020
Contributions:13 commits, 12 pushes, 1 branch in 8 months
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