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Achievement: Pull Shark

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Achievement: Pull Shark

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vrbabu9000/README.md

Hi there 👋

AI engineer focused on LLM systems that survive contact with production. Healthcare wedge: PHI handling, clinical NLP, FHIR.

Now building

  • a clinical SLM fleet. Quantized 1B–4B models served via llama.cpp behind a FastAPI gateway, running PHI de-identification (HIPAA Safe Harbor), clinical message triage, and FHIR resource extraction, with eval-gated model promotion.

Background

  • IBM watsonx Client Engineering (enterprise LLM pilots for Financial Sector Markets)
  • Johns Hopkins Medicine (clinical LLM evaluation, under review at JMIR Medical Informatics)
  • EY (oncology forecasting platform deployed in 80+ countries)
  • MSE Data Science, Johns Hopkins, Dec 2026

Long-term interest

  • brain inspired AI frameworks
  • conciousness research

Pinned Loading

  1. mirage-test mirage-test Public

    Evaluates LLM-as-judge reliability in repeated Prisoner’s Dilemma games by separating behavior from presentation.

    Python

  2. DocuMagnetIR DocuMagnetIR Public

    Large Scale Document extraction and categorization Framework powered by Mathpix and Claude AI

    Python 1