• Agentic AI
  • On-prem
  • Evals

Helping scientists test hypotheses with an on‑prem AI agent pipeline

A multi-agent AI pipeline for hypothesis generation and validation, running fully on-prem.

Timeline

May 2026 – Present

Team

5 people

Org

Argonne National Laboratory

Role

AI/ML Research Intern

Skills

Agentic AI, Evaluation Design, Scientific Tooling, Python

Long story short

From researcher interviews to an on-prem agent pipeline scientists use day to day

01 Discovery

Started from the researchers

Translated 1:1 interviews with 5 researchers into a PRD for the pipeline.

02 Execution

Built the core agent framework

Architected and built the core agent framework: sandboxed execution, custom LLM evaluation, and retrieval across 37 public APIs and a 190K-node public knowledge graph.

03 Adoption

Let usage decide what to unbundle

Shipped an observability UI to track real-world usage. The data showed which tools to unbundle for researchers' daily tasks.

The research is confidential and under publication review, so please email me if you'd like to learn more.