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Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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virenbajaj/README.md

Hi there 👋

Senior ML Engineer at CVS Health — building production LLM systems for health insurance (RAG, agents, evaluation at scale).

Now

  • CSR-facing agentic RAG system for health-benefits Q&A
  • UQLM — LLM hallucination detection via uncertainty quantification (JMLR 2026, 1.2K+ ⭐)
  • LangFair — bias & fairness evaluation for LLM use cases (JOSS 2025)

Previously

  • Led Conduit — CLI for deploying Kubeflow pipelines to GCP, adopted by 13 teams (PyData NYC 2023)
  • NASA Langley: RL for formally verified sense-and-avoid (IEEE DASC 2019) + RF interference detection for autonomous drones
  • CMU: verifiably safe SCUBA diving with formal methods (ACM EMSOFT 2019)
  • GlueX Collaboration @ Jefferson Lab: proton–antiproton photoproduction analysis (APS DNP 2017)
  • M.S. CS (ML) @ Columbia · B.S. Physics @ CMU

📄 Google Scholar · 💼 LinkedIn

Pinned Loading

  1. cvs-health/uqlm cvs-health/uqlm Public

    UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

    Python 1.2k 128

  2. cvs-health/langfair cvs-health/langfair Public

    LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

    Python 260 46

  3. ravishrawal/NFT-GAN ravishrawal/NFT-GAN Public

    Jupyter Notebook

  4. ravishrawal/the-carbon-implication-of-crypto ravishrawal/the-carbon-implication-of-crypto Public

    JavaScript

  5. PredictingRatings PredictingRatings Public

    Implement a gaussian matrix factorization model and use MAP estimation on the MovieLens dataset to predict the rating a user would give to an unseen movie.

    Jupyter Notebook

  6. Q-LearningTutorial Q-LearningTutorial Public

    In this tutorial we learn how to find an optimal path from one node of a graph to another using Q-learning.

    Jupyter Notebook 1