Kruti Shah is a Senior AI/ML Engineer and Lecturer at the Johns Hopkins Whiting School of Engineering. Her work sits at the intersection of applied machine learning, large language models, and healthcare technology. In her industry role at Optum/UnitedHealth Group, she designs and deploys production-scale AI systems — including LLM-based applications, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI workflows — to solve complex problems in the healthcare domain.
Her technical interests span deep learning, natural language processing, generative AI, time series analysis, and MLOps. She has applied these methods to clinical decision support, healthcare data processing, and intelligent automation. As a lecturer, she brings real-world engineering practice directly into the classroom, grounding theoretical concepts in the production systems and deployment challenges her students will encounter in their careers.
Her research also extends into AI ethics. Her published work explores the ethical implications of autonomous systems across different countries and cultures, examining how regional values and regulatory landscapes shape the development of safe and responsible AI.
Education History
- B.E., Computer Technology, Walchand Institute of Technology
- M.S., Artificial Intelligence, Johns Hopkins University
Work Experience
Senior AI/ML Engineer, United HealthCare – OPTUM
Publications
Ethical Challenges in Autonomous Vehicles Across Countries and Cultures
Published in [IEEE/CISS 2025], [March 2025] https://ieeexplore.ieee.org/document/10944682
This paper examines the ethical challenges of autonomous vehicles, highlighting regional variations, cultural influences, and the need for international collaboration to develop safe and ethical solutions.
Honors and Awards
- Top 20 Winner – UHG Clinical Hackathon (2020)