Washington, DC
Rajesh Nandipaty
Applied Machine Learning Engineer
Recently, I led the multimillion-dollar sale of a private pediatric practice in South Texas, where I spent four years overseeing revenue cycle management, EHR operations, billing, and compliance. I also completed my M.Eng. in Artificial Intelligence and Machine Learning at The George Washington University, where I developed machine learning systems for enterprise operations.
My work spans natural language processing, high-volume rule-based processes, large language model evaluation, and project controls for complex, multi-stakeholder initiatives. The projects below showcase my work across these areas.
Selected Work
All projects →-
ScrubCheck: An NCCI Claim Scrubber Running before Submission
It reviews a claim's procedure codes for NCCI bundling and unit cap edits before submission and explains each flag in clear, plain language.
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SourceFetch: Grounded Q&A for Billing and Coding Policy
A retrieval augmented assistant that answers billing and coding questions using only the source manuals. It cites the relevant passages and clearly says when the answer is not supported by the available sources.
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Evaluation and Error Analysis on a Multitask Review Triage Capstone
The evaluation and error analysis workstream for a GWU graduate capstone project focused on a BERT-based triage classifier with five classification heads.
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Glossary Flashcards: An Image-to-Anki Deck Generator
An updated version of a web application that converts photos of book glossaries into Anki flashcards, remastered using Claude's Vision API.