I will develop custom rag ai solutions for your app or website

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H
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Hammad Rehman
develop custom rag ai solutions for your app or website
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develop custom rag ai solutions for your app or website

About this gig

Stop settling for AI demos that break under real use.


I build production-ready RAG systems, AI agents, and backend APIs for startups and businesses that need reliable AI infrastructure not just a connected API.


What I Deliver:

  • RAG pipelines using LangChain + vector databases (FAISS, Pinecone, Chroma)
  • Backend APIs with FastAPI & NestJS for seamless app/website integration
  • Agentic AI workflows for document Q&A, chatbots, and knowledge assistants
  • QA dataset generation for RAG evaluation & LLM fine-tuning


Use Cases:

Customer support chatbots Internal knowledge assistants Document search AI features for SaaS products

Tech Stack: Python, FastAPI, NestJS, LangChain, FAISS, OpenAI/GPT, Vector Databases

Why Me: Built real RAG/AI systems (Medical VQA, AI job platform, misinformation-tracing pipeline) with hands-on backend work experience.


Message me before ordering with your data source (PDF/DB/API) and use case for an accurate scope.

  • AI engine

    • Gemini
    • Langchain
    • PyTorch

  • Programming language

    • C++
    • JavaScript
    • Python
    • PyTorch
    • Tensorflow

Get to know Hammad Rehman

Hammad Rehman

I will create backend APIs, agentic AI workflows, and RAG based LLM systems

  • FromPakistan
  • Member sinceJul 2026

  • Languages

    Urdu, English, Punjabi, Pashto
If you need someone who can take an idea from "what if we had an AI feature that" to a working, tested backend that's what I do. Let's build something solid. I help businesses build reliable backend systems and AI features that work in production, not just demos. With experience across backend projects, I specialize in: REST APIs (FastAPI, NestJS), Agentic AI & RAG pipelines (LangChain, FAISS), JWT authentication & backend architecture, and data dashboards. I have shipped a job portal with AI accessibility features, a doctor-scheduling platform, and a RAG pipeline for tracing misinformation.

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