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MrunmayeeNaik/README.md

Hi, I'm Mrunmayee Naik 👋

B.E. CSE (Data Science) · Honors in AI & ML | RAG Pipelines · Multi-Agent AI · Generative AI

🟢 Open to AI Engineer & GenAI Engineer roles

I build LLM-powered systems — RAG pipelines, multi-agent workflows, and document intelligence tools. Background in data analytics and business analysis; now focused on production-ready GenAI engineering.

🔧 What I build

Project Description Tech Project Live URL
Document Q&A RAG Pipeline Production RAG system with Cohere reranking (top-20 → top-5), RAGAS evaluation, and Gemini 2.5 Flash streaming Gemini, Pinecone, Cohere, RAGAS, Streamlit https://ragdocumentassistance.streamlit.app/
Onboard AI Agent Production-grade multi-agent system with 3 chained Gemini 2.0 Flash agents automating the full employee onboarding journey — provisioning, 30-60-90 day learning path, and 24/7 HR Q&A Gemini 2.0 Flash, Streamlit, Google AI Studio https://onboard-aiagent.streamlit.app/

🔭 Currently Working on

  • Currently improve Multi Agent System with all the 4 agents interacting with each other
  • Production RAG pipelines with embedding optimization, reranking, and automated evaluation (RAGAS)
  • Improving LLM output quality through structured prompting, tool use, and agent memory

🛠️ Tech Stack

Languages

Python SQL JavaScript

GenAI & LLMs

LangChain CrewAI OpenAI Gemini Groq ChromaDB Pinecone HuggingFace Claude Claude Code

ML & Data Science

scikit-learn TensorFlow PyTorch NumPy Pandas Matplotlib YOLO

Data & BI

Power BI MySQL Tableau

Backend & APIs

FastAPI Streamlit Flask Git

Cloud & DevOps

GCP Docker GitHub Jupyter

🤝 Let's Connect

LinkedIn GitHub Email

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  1. Document-Analyzer-CrewAI Document-Analyzer-CrewAI Public

    Multi-agent system that reads financial PDFs and returns structured investment insights via REST API

    Python

  2. Document-Q-A-RAG-Pipeline Document-Q-A-RAG-Pipeline Public

    A production-grade Retrieval-Augmented Generation (RAG) system for natural language querying of PDF and Excel documents.

    Python