Raman Ramachandran

How I navigated model deprecations, encoding hurdles, and hybrid RAG architectures to build a production-ready healthcare prototype. In the complex world of healthcare, verifying provider credentials shouldn't be a manual bottleneck. I set out to build an AI assistant that could: 1. Extract data from medical licenses using

Here is the link to the prototype. https://huggingface.co/spaces/pilayar/provider-auth I have prototyped for two specific procedures that require prior authorization: Spinal Fusion and Endoscopy. To execute the prototype, you will need to copy and paste provider notes in the provider note section and then select the

Title: Beyond the Red Tape: How AI is Solving the Prior Authorization Crisis I decided to take a small pivot from model exercises to prototyping on agents. And what better process to prototype than on one of the highest administrative friction points in Healthcare - Prior Authorization!!! The intent is

Neural networks are computational models inspired by the human brain's structure, designed to recognize patterns and interpret complex data through interconnected layers of nodes. The following summary details the practical application of these networks in an industrial setting, specifically covering architectural design, optimization techniques like ReLU and Dropout,

Project Spotlight: Predictive Modeling for Visa Certification Overview The EasyVisa project addresses a critical business challenge in legal tech and immigration: predicting the likelihood of visa certification for foreign workers. By leveraging advanced machine learning techniques, this project identifies the key factors that influence the Office of Foreign Labor Certification