About Gayatri
Gayatri earned her MS in Computer Science from Clemson University, and her background spans data engineering, applied machine learning, and cloud infrastructure.
In addition to earning her degree at Clemson, Gayatri also worked as a Systems Engineer at the Media Forensics Hub, where she developed tools for the U.S. Department of Defense to detect coordinated inauthentic behavior on social media.
At U-Spatial, Gayatri is leading the design of a graph-based expertise system, an initiative under Elevate Extraordinary 2030—a broad partnership between the University and Hennepin County connecting university researchers with county and community needs.
Key Projects and Initiatives
RAG-based AI chatbot
Gayatri is developing a retrieval-augmented generation (RAG) chatbot to support internal collaboration between University of Minnesota researchers, staff, and faculty, with a planned migration to Azure AI Foundry and LiteLLM to support the tool at scale. The Seeker chatbot helps you find University of Minnesota faculty and staff by topic or area of expertise.
Areas of expertise
- Graph Data Science: graph databases, graph-based data analysis, link analysis and link charts, Knowledge Studio, Spatial Data Analysis
- Retrieval & Applied AI: RAG and GraphRAG systems, graph retrieval, LLM applications, Azure AI Foundry, LLM Finetuning
- Machine Learning: cluster analysis, deep learning and computer vision for image recognition
- Cloud Infra & HPC: AWS, Azure, HPC, serverless architecture, containers
Work with Gayatri
Reach out, consultations are free for the U of M community.