I will build llm powered rag application with fastapi and vector database

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nasirdevpro
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nasirdevpro
Nasir I

About this gig

LLM & RAG APPLICATION DEVELOPER


FastAPI · Python · Vector Databases · LLM Systems

I build production-grade AI systems that answer from your data (docs, PDFs, URLs, databases) using RAG and LLMs.


WHAT I BUILD

  • RAG systems for document Q&A
  • LLM API integration (OpenAI, Anthropic, Mistral, open-source)
  • Vector search (Qdrant, Pinecone, Weaviate, ChromaDB)
  • AI chatbots with memory & context awareness
  • FastAPI backend services for AI apps
  • Async AI pipelines for real-time processing
  • Docker + cloud deployment (AWS, GCP)


⭐ WHY ME

  • 4+ years building production AI/ML systems
  • Working on AI systems at RTA Dubai
  • 30+ ML projects delivered (4.9/5 rating)
  • Strong focus on performance & production-ready code


TECH STACK

Python · FastAPI · LangChain · OpenAI · Qdrant · Pinecone · PostgreSQL · MongoDB · Redis · Docker · AWS · PyTorch · Ollama


PERFECT FOR

  • AI chatbot using your own data
  • SaaS AI features (search, Q&A, agents)
  • Enterprise document intelligence systems


Message me before ordering to confirm scope.

Get to know Nasir I

Nasir I

Python AI Engineer LLM RAG Backend Developer FastAPI AWS Docker

  • FromUnited Arab Emirates
  • Member sinceMar 2025
  • Avg. response time1 hour
  • Languages

    English, Urdu, Spanish
🚀 Nasir Iqbal | Python Developer & AI/ML Engineer Backend & AI engineer focused on scalable, high-performance systems. I build REST APIs, microservices, async backends , Dockerized cloud apps (AWS/GCP), and production AI/ML systems including NLP, deep learning, and computer vision. Specialized in LLM applications and production RAG pipelines using vector databases (Qdrant, OpenAI). ✅ Async & high-performance API development ✅ AI models for text & image understanding ✅ Production RAG systems (LLM + Vector DB + FastAPI) ✅ Scalable cloud-native backend Let’s build something great! 🚀