Gaurav Verma

AI Researcher

Seattle, Washington, United States7 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

25+ publications in top AI venues
10+ patents with the USPTO
Multiple prestigious doctoral fellowships

Stackforce AI infers this person is a leading researcher in AI and Multimodal Learning.

Contact

verma22gaurav@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Ai AgentsMultimodal LearningLarge Language Models (llm)Generative SearchDeep LearningNatural Language Processing (nlp)Information Retrieval

Other Skills

Applied Machine LearningComputer ScienceComputer VisionGenAIMachine Learning AlgorithmsMicrosoft OfficeNatural Language ProcessingPython (Programming Language)Technology Transfer

About

I am passionate about research and development in Artificial Intelligence, particularly Multimodal Learning and LLMs. I have led projects that have resulted in 25+ publications in venues such as ACL, EMNLP, WWW, IUI, AAAI, and ICASSP, 10+ patents with the USPTO, multiple doctoral fellowship awards, and coverage in media outlets like TechCrunch, Forbes, Scientific American, and The World.

Experience

Microsoft

Senior Applied Scientist

May 2025 – Present · 10 mos · Redmond, Washington, United States

Research on developing the next generation of AI agents that support productivity workflows.

Information RetrievalAI AgentsNatural Language Processing (NLP)Deep LearningArtificial Intelligence (AI)

Jpmorgan chase & co.

AI Research Intern

Jun 2024 – Aug 2024 · 2 mos · Manhattan, New York, United States · On-site

Research on building highly adaptable multimodal LLM-based agents.

Large Language Models (LLM)AI Agents

Microsoft

Research Intern

May 2023 – Aug 2023 · 3 mos · Montreal, Quebec, Canada · On-site

Research on LLM-based generative search systems, such as BingChat, with an aim to understand the usage and conceptualization among users.

Generative SearchLarge Language Models (LLM)

Adobe

Research Scientist Intern

May 2022 – Aug 2022 · 3 mos · United States

Research on understanding the visual aspects of text and developing large vision-language models to identify visual text.

Deep LearningGenAI

Georgia institute of technology

Graduate Research Assistant

Jan 2021 – May 2025 · 4 yrs 4 mos · Atlanta, Georgia, United States · On-site

Research on developing robust, efficient, and adaptable multimodal artificial intelligence. Awarded the JPMorgan Chase AI Research Ph.D. Fellowship (2023), Snap Research Fellowship (2022), Rising Star Doctoral Student Research Award from Georgia Tech's College of Computing (2022), and finalist for the Adobe Research Ph.D. Fellowship (2022).

Computer ScienceArtificial Intelligence (AI)Natural Language Processing (NLP)Multimodal Learning