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I will build rag and ai pipelines

G
gokul_madesh
G
gokul_madesh
Gokul M

About this gig

Are you looking for AI that answers accurately from your own documents and data not from hallucinated responses? I build robust Retrieval-Augmented Generation (RAG) systems that connect LLMs directly to your knowledge base.


What I deliver:

  • End-to-end RAG pipeline design and development
  • Document chunking, embedding, and indexing
  • Vector database integration (FAISS, Chroma, Pinecone)
  • Semantic search and hybrid retrieval
  • Support for PDFs, Word docs, and databases
  • Clean, modular, fully documented codebase

Why choose me:

I have built RAG and document chunking systems in a real defence research environment (DRDO), where accuracy and reliability are critical. Your project gets the same standard.


What you get:

  • Production-ready, well-documented code
  • Modular architecture easy to extend
  • Post-delivery support within package terms

Whether you need a simple document Q&A bot or a full enterprise knowledge retrieval system I have you covered.

  • Drop me a message before ordering and I will confirm your requirements fit the package

Get to know Gokul M

Gokul M

AI Engineer

  • FromIndia
  • Member sinceJun 2026
  • Languages

    Tamil, English
I am an AI/ML Engineer specialising in LLM pipelines, Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI systems, and on-premise AI deployment. My work is validated through a 4-month AI Engineer internship at DRDO, Where I worked as Technical lead and got recommended by a Scientist Level C for competitive AI/ML and Agentic roles and also I've been promoted as Project Enginner at DRDO. I have built full-stack AI enabled systems, Full-stack web applications and AI Automation workflows. All Shipped to production successfully. I deliver clean, documented, production-ready AI systems.