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VaishnaviSh14/README.md

Hi, I'm Vaishnavi Sharma 👋

Software Developer at SAP building enterprise-grade backend systems and exploring applied AI.

💼 What I do

  • Build scalable backend systems using Java, Spring Boot, SAP CAP
  • Work on SAP Cloud ALM improving system reliability and testing
  • Handle production issues, debugging, and system stability

🧠 What I’m exploring

  • Retrieval-Augmented Generation (RAG)
  • Multi-Agent Systems
  • Applying AI to real-world enterprise workflows

🚀 Featured Projects

🔹 Multi-Agent Data Analyst

Autonomous system that performs end-to-end data analysis (EDA → AutoML → insights)

🔹 Multimodal RAG Pipeline

Retrieval system supporting text + image understanding using embeddings and LLMs

🔹 Kafka Real-Time System

Producer-consumer architecture with Docker-based setup for real-time data flow

🛠 Tech Stack

Backend: Java, Spring Boot, SAP CAP
AI/ML: Python, RAG, LangChain, LLMs, Pandas
Frontend: SAP UI5, JavaScript
Tools: Docker, Kafka, Git, Linux

📫 Connect with me

⚡ What I'm working towards

Building intelligent systems that combine backend engineering + AI to solve real enterprise problems.

Pinned Loading

  1. -Building-News-AI-Agents-Using-CrewAI-And-Google-Gemini-Pro-LLM-Models -Building-News-AI-Agents-Using-CrewAI-And-Google-Gemini-Pro-LLM-Models Public

    This project builds an AI-powered News Research & Writing System using CrewAI and Google Gemini Pro (1.5 Flash) LLM models. It features two autonomous agents – a Senior Researcher and a Writer – wh…

    Python

  2. 3-Build-RAG-Pipeline---Advanced-Retreival-Query-Pipline 3-Build-RAG-Pipeline---Advanced-Retreival-Query-Pipline Public

    This project demonstrates how to build a complete Retrieval-Augmented Generation (RAG) system using LangChain, ChromaDB, and Sentence Transformers.

    Jupyter Notebook

  3. RAG_Pipeline_Project RAG_Pipeline_Project Public

    This project demonstrates how to build a complete Retrieval-Augmented Generation (RAG) system using LangChain, ChromaDB, and Sentence Transformers.

    Jupyter Notebook

  4. Kafka---Project Kafka---Project Public

    A Kafka Producer–Consumer project using Python and Docker (KRaft mode). Includes a fully containerized Kafka setup with Python clients for sending and consuming real-time messages.

    Python

  5. Literature-Review-Assistant-using-AutoGen- Literature-Review-Assistant-using-AutoGen- Public

    An AI-powered Literature Review Assistant built with AutoGen, designed to simplify the process of finding, summarizing, and organizing research papers. It uses multi-agent coordination to search, s…

    Python

  6. MultiAgent-Data-Analyst MultiAgent-Data-Analyst Public

    A fully autonomous multi-agent system for end-to-end data analysis. Upload any CSV → Agents perform Profiling → EDA → AutoML → Verification → Notebook Generation → Gemini Insights.

    Python 3