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Sumanth Ratna

Sumanth Ratna

Yale CS student and health AI engineer

sumanthratna
New Haven, Connecticut
Joined November 2025
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Summary

Health AI engineer and technical lead at CHAI: Sumanth is a founding engineer who has taken primary responsibility for CHAI's technical efforts, including developing infrastructure, schemas, and the CHAI Applied Model Card to improve transparency and evaluation of healthcare AI. This work positions him at the intersection of engineering and governance for medical AI. chai+1
Published researcher bridging LLMs and publicā€‘service applications: Coā€‘author on peerā€‘reviewed work demonstrating how large language models can be used to extract rules and generate deployable applications (example: Medicaid redetermination tooling), reflecting research experience at Yale and collaborations with Microsoft research groups. nih+2
Early civicā€‘tech founder and community impact: In high school he coā€‘founded eAbsentee.org and contributed technical leadership to Vote Absentee Virginia, an early example of building practical civicā€‘tech tools that improved voter access and received press coverage (IEEE Spectrum, Washington Post). ieee+1
Active openā€‘source engineer and student hacker: Maintains public code, participates in hackathons and Devpost projects, and contributes to community codebases (e.g., issues and PRs related to Ray and other projects), demonstrating strengths in software engineering and practical systems work. github+2
Interdisciplinary undergraduate at Yale: Pursuing computer science alongside South Asian Studies (double major / BS+MS pathway), combining technical depth with area studies and publicā€‘policy interest ā€” consistent with work spanning technical research, health policy applications, and civic engagement. sumanthratna+1

Work

Education

Projects

Writing

A Methodology for Using Large Language Models to Create Userā€‘Friendly Applications for Medicaid Redetermination and Other Social Services

August 1, 2024

Peerā€‘reviewed / published paper describing a methodology that uses LLMs to extract eligibility rules from state websites and generate deployable Python applications to help determine Medicaid eligibility; coā€‘authored with Microsoft AI for Good collaborators and Yale researchers.

Favicon imagepubmed.ncbi.nlm.nih.gov

CHAI Applied Model Card (documentation / schema)

January 1, 2023

Technical documentation and schema for CHAI's Applied Model Card, intended to provide practical guidance and fields for documenting healthcare AI model development, evaluation, and deployment.

Favicon imagemc.chai.org

Hobbies

Openā€‘source development and participation in hackathons / student software competitions. github+2

Civicā€‘tech and youth civic engagement (projects to increase voter accessibility). ieee+1