Washington, DC
Rajesh Nandipaty
Applied Machine Learning Engineer
Recently, I directed the multimillion-dollar sale of a private pediatric practice in South Texas, where I had spent four years owning the revenue cycle, EHR operations, billing, and compliance. Additionally, I completed my M.Eng. in AI/ML at The George Washington University, where I build machine learning systems for enterprise operations.
My work spans natural language processing to high volume processes dense with rules, large language models evaluation, and project controls for coordinated multi-stakeholder efforts. The projects below document the work.
Selected work
All projects →-
ScrubCheck: An NCCI claim scrubber that runs before submission
It checks a claim's procedure codes for NCCI bundling and unit cap edits before submission and explains each flag in plain language.
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SourceFetch: Grounded Q&A over billing & coding policy
A retrieval augmented assistant that answers billing and coding questions only from the source manuals. It cites each passage and says so when the answer is not there.
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Evaluation and Error Analysis on a Multitask Review Triage Capstone
The evaluation and error analysis workstream for a graduate capstone at GWU: a BERT triage classifier with five heads measured down to its real confusion matrix and the boundaries where it fails.
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Glossary Flashcards: An image to Anki deck generator
An older web app that turns book glossary photos into flashcards for Anki. Remastered with Claude's vision API.