Ketul Shah

AI Researcher

Baltimore, Maryland, United States2 yrs 3 mos experience

Key Highlights

Expertise in Multimodal LLMs and Video Understanding.
Strong background in Machine Learning and Computer Vision.
Experience with large-scale video data processing.

Stackforce AI infers this person is a SaaS specialist with a focus on advanced video processing and machine learning.

Contact

kshah33@jhu.edu LinkedIn

Skills

Other Skills

AutoCADCComputer VisionDeep LearningHTMLLeadershipMachine LearningMatlabMicrosoft ExcelMicrosoft OfficeMicrosoft WordPowerPointPublic SpeakingPyTorchTeamwork

About

Research interests: Multimodal LLMs, LLM Agents, Video Understanding, Synthetic Data, Video Retrieval, Action Recognition, Self-Supervised Learning, Domain Adaptation, 3D Vision. Website: https://kshah33.github.io/

Experience

2 yrs 3 mos

Total Experience

1 yr 1 mo

Average Tenure

Current Experience

Amazon web services (aws)

Applied Scientist Intern

Jun 2025 – Aug 2025 · 2 mos · Santa Clara, California, United States · On-site

Video-based task replay for browser agents.

Adobe

2 roles

Research Intern

Sep 2024 – Feb 2025 · 5 mos

Text-based video clustering using MLLMs.

Research Intern

Jun 2024 – Aug 2024 · 2 mos

Agentic approach for multimodal video retrieval.

Amazon

Applied Scientist Intern

Jun 2023 – Nov 2023 · 5 mos · Seattle · On-site

Large-scale pre-training using multi-view videos.

Amazon web services (aws)

Applied Scientist Intern

Jun 2021 – Aug 2021 · 2 mos · Seattle, Washington, United States · Remote

Holistic framework for active learning (Rekognition team)

University of maryland

2 roles

Graduate Research Assistant

Jun 2019 – Jul 2020 · 1 yr 1 mo · College Park, MD

Graduate Teaching Assistant

Jan 2019 – May 2019 · 4 mos · College Park, MD

CMSC420: Advanced Data Structures
Topics include - self-balancing binary trees, kd-trees, quad trees, skiplists, hash tables, tries, huffmann encoding, LZW encoding