Utkarsh Mahai
Utkarsh Mahai is a full-stack software engineer at the Department of Energy's Atmospheric Radiation Measurement (ARM) User Facility Data Center. He works on building software, tools, and applications that help scientists and researchers access data, streamline workflows, and focus more on advancing their science.
His work spans the full software development lifecycle, from designing user experiences and building web applications to developing backend services and integrating emerging technologies where they can provide meaningful value. More recently, he has been involved in building agentic systems, modernizing user interfaces in the age of AI, and improving the ways information and context flow through applications.
Outside of work, Utkarsh is interested in conversations around AI ethics, governance, and the broader impact of emerging technologies. He enjoys continuous learning and exploring new ideas, tools, and approaches to solving problems.
Before joining the ARM Data Center, he worked on software products and business processes in the financial technology (fintech) and entertainment industries.
Session
The Atmospheric Radiation Measurement (ARM) User Facility Data Center (ADC) capable of supporting scalable, secure, and reproducible engagement with atmospheric research data is evolving towards AI-ready ecosystem. We will discuss architectural designs utilized in production scientific data setting including open-source technologies to further multi-agent coordination, agentic retrieval-augmented generation (A-RAG), shared contextual memory via vector stores, and model-agnostic inference orchestration within Kubernetes infrastructure. We will go over ARM's foundational stack designed to support agentic AI workflows for data discovery, metadata research, reasoning, and user engagement. Additionally, we will go over architectural decisions, trade-offs, and security measures pertinent to research computing environments with some demonstrations.