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rapuriteja/README.md

Hi, I'm Rapuri Teja 👋

Data + AI Engineer · Chennai, India

I design and build data platforms — pipelines that turn raw data into clean, reliable, analytics-ready layers — and the AI systems that sit on top of them. These days most of my work lives where data engineering meets AI: retrieval, agents and tools that let people get answers from their data in plain English.


🧭 What I do

  • Data engineering — batch and incremental pipelines, lakehouse and medallion architectures, data modelling, data quality and governance
  • AI engineering — LLM applications, RAG, AI agents and tool integrations built on top of trusted data
  • Platform & delivery — cloud infrastructure, CI/CD, testing and keeping pipelines cost-efficient in production

🛠️ Tech I work with

Python SQL Apache Spark Databricks Azure Delta Lake LLMs RAG AI Agents Docker Git Power BI


🌱 Right now

Building AI-powered tools on top of data platforms — check out my repositories for what I'm working on.


📫 Reach me

Email

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  1. Fast_and_Serious_SRMHackathon Fast_and_Serious_SRMHackathon Public

    Stock Price Prediction Web App Using Python and Frame works such as streamlit, yfinace, pandas

    Python

  2. Inventory-Management-System Inventory-Management-System Public

    This repository is having all the codes with json files for making an Inventory Management System during ETG AI/ML Internship.

    Jupyter Notebook

  3. lakehouse-copilot-mcp lakehouse-copilot-mcp Public

    AI copilot for an Azure Lakehouse: PySpark medallionpipeline (Databricks, Delta, SCD2), RAG over the dat catalog (Azure AI Search), MCP server and Azure OpeAI tool-calling agent.

    Python

  4. Summer-Olympics-Data-Analysis-Assignment Summer-Olympics-Data-Analysis-Assignment Public

    I have performed data analysis on Summer Olympics , The dataset contains the data from the year 1896 to 2012

    Jupyter Notebook