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Vi-bha/README.md

Hi, I'm Vibhavari Tummewar 👋

LLM & Agentic AI Engineer · RAG Systems · Scopus-Published Researcher

Building end-to-end AI systems — from autonomous research agents to multimodal medical diagnostics — with a focus on LLMs, RAG pipelines, and production-grade agentic workflows.


🔬 About me

I build agentic AI systems that move LLMs beyond chat interfaces into structured,decision-support workflows — autonomous research agents, multimodal medical diagnostics pipelines, and RAG-based intelligence tools.

  • 🎓 M.Tech (Advanced Computing), MANIT Bhopal — Thesis on multi-attribute textclassification and LLM-assisted medical image analysis, under Dr. Sanyam Shukla & Prof. Manasi Gyanchandani
  • 📄 Published researcher (Scopus/Springer 2026) — presented LASRMIS at CIMA 2026 (NIT Puducherry)
  • 🌱 Selected contributor — GirlScript Summer of Code 2026, AI/Agents track
  • 📍 Open to remote research collaborations, internships, and contract roles

🚀 Featured Projects

Project Description Links
ResearchMind Autonomous AI scientist querying 35M+ PubMed papers — multi-stage RAG pipeline that searches literature, analyzes findings, generates hypotheses, and designs experiments Live demo
PaperLens RAG-based research intelligence tool — semantic search, Q&A, interview prep, and implementation roadmap generation Live demo
MedLens Multimodal prostate MRI analysis pipeline (PROSTATEx, 346 patients) — PI-RADS scoring, lesion visualization, automated clinical report generation aligned with EU AI Act transparency principles Live demo
EngiTutor Agentic AI teaching assistant for engineering students — explains concepts with real teaching structure, generates downloadable PPTs, creates quizzes, proactively suggests next topics Live demo · Repo
LASRMIS LLM-assisted structured radiology report generation from prostate MRI segmentation — training-free pipeline, 86.2% clinical completeness with zero hallucinations across 64 generated reports Repo
Multimodal Agentic Pipeline Domain-agnostic multimodal agent pipeline (Qwen2-VL, LangGraph, ChromaDB, FastAPI, Docker) using medical imaging as the test domain Repo
Multilabel Emotion Classification Multilabel emotion classification study — Springer ICIoTCT 2025 Repo

🛠️ Core Expertise

LLMs & Agentic Systems LLMs RAG Multi--Agent Systems LangChain LangGraph

ML / Languages Python PyTorch HuggingFace FAISS

Infra & Deployment AWS Docker FastAPI Streamlit Gradio

Medical Imaging PyDICOM NiBabel SimpleITK


📄 Publications

  • LASRMIS — LLM-Assisted Structured Radiology Report Generation fromProstate MRI Segmentation — CIMA 2026, NIT Puducherry (Springer LNNS, forthcoming)
  • Multilabel Emotion Classification Study — Springer ICIoTCT 2025

🏆 Certifications

  • AWS AI Practitioner Challenge — AWS & Udacity (May 2026)
  • Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
  • GenAI Powered Data Analytics Job Simulation — Tata Motors (Forage)

Building domain-agnostic, production-grade AI systems — one agent at a time.

Pinned Loading

  1. PaperLens PaperLens Public

    RAG-powered research paper intelligence system with semantic Q&A, interview prep and implementation roadmaps

    Python

  2. ResearchMind ResearchMind Public

    Autonomous AI Scientist — fetches PubMed papers, generates hypotheses and produces research proposals

    Python

  3. MedLens MedLens Public

    Multimodal AI pipeline for prostate cancer MRI analysis — DICOM preprocessing, PI-RADS scoring, lesion visualization and LLM-generated clinical reports | PROSTATEx dataset (346 patients)

    Python

  4. LASRMIS-LLM-Assisted-Structured-Reporting-from-MRI-Segmentation LASRMIS-LLM-Assisted-Structured-Reporting-from-MRI-Segmentation Public

    A research-oriented pipeline that converts prostate MRI segmentation outputs into structured radiology-style reports using prompt-engineered LLaMA 3.1. Includes prompt ablation study, clinical comp…

    Python