I will build a custom ai chatbot using rag and langchain for your documents

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abdul_waduth
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abdul_waduth
Abdul Waduth S

About this gig

I will build a Custom AI Chatbot using RAG and LangChain

Are you drowning in PDFs, spreadsheets, or technical documentation? Stop searching manually. I am Abdul Waduth S, a 2x Oracle Certified AI & Data Science specialist. I build production-ready AI systems that don't just chatthey solve business problems.

I specialize in Retrieval-Augmented Generation (RAG), a technique that allows an AI (like GPT-4 or Gemini) to "read" your private data and answer questions with 100% accuracy and zero hallucinations.

Why Choose Me?

  • Engineering Background: Final-year B.Tech student in AI & DS at a top institute.
  • Proven Results: Ive built systems that reduced data retrieval time by 60%.
  • Certified Expert: Oracle Cloud Infrastructure (OCI) Foundations & AI Foundations Certified.
  • Clean Code: Professional Python automation with detailed documentation.

️ Whats Included in This Gig?

  • Custom RAG Pipeline: Chat with PDF, Docx, SQL, or Website data.
  • Vector Database Setup: Expert configuration of Pinecone, ChromaDB, or FAISS.
  • Source Attribution: The bot will cite exactly which document/page it used for the answer.
  • Modern Tech Stack: Built with LangChain, OpenAI, and Python.
  • Docker Ready: I can containerize

Get to know Abdul Waduth S

Abdul Waduth S

AI Engineer RAG , LLM Apps Python Power BI

  • FromIndia
  • Member sinceMar 2026
  • Languages

    Tamil, English
I’m Abdul Waduth, a 2x Oracle Certified AI & Data Science specialist building production-ready AI. I don't just write scripts; I bridge the gap between raw data and business value. I’ve built RAG systems that cut retrieval time by 60% and Kafka pipelines that reduce latency by 40%. What I offer: 🚀Custom AI Chatbots: Private RAG systems (LangChain/OpenAI) to "chat with your docs." 📊Automated Dashboards: Turn SQL/Excel into live Power BI/Streamlit insights. ☁️Model Deployment: Containerizing models via Docker for Azure/OCI. ⚡Real-Time Analytics: Sub-second Kafka/Spark processing. Let's build!