I will build a rag chatbot or ai search for your documents or app

D
dhruvinxowl
D
dhruvinxowl
Dhruvin

About this gig

You need AI that actually works on real data not a demo that

breaks the moment your documents get messy.


I build RAG systems and LLM integrations for real products. I built

the LLM/RAG pipeline for a live borrower-protection platform that

turns 60-page legal documents into a plain-language risk report. I

built a RAG system from scratch (crawler, embeddings, vector search,

chat interface) that indexes and answers from technical

documentation. I also led the backend for an 11-agent AI system built

in a national hackathon final.


What I deliver:

- Chatbots and AI search grounded in your own documents or data

- LLM integration using OpenAI, Claude, or open-source models

- Full RAG pipelines: embeddings, vector database, retrieval

- The app around it API, database, frontend, deployment if you

 need it built, not just the AI layer


I ask a few scoping questions before starting so what I deliver

actually matches what you need. No vague scope, no surprises at

delivery.


Message me before ordering if your project doesn't fit neatly into

one of the packages happy to scope something custom.

Get to know Dhruvin

Dhruvin

Fullstack developer and AI engineer

  • FromIndia
  • Member sinceAug 2026
  • Avg. response time1 hour
  • Languages

    English, Hindi
I am a full-stack developer and AI engineer with a focus on building production-ready products. I have experience engineering RAG pipelines for borrower protection, developing e-commerce platforms with live pricing engines, and contributing to open-source AI governance tooling. I specialize in Python, Node.js, and LLM integration.

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