I will build enterprise rag systems, ai vector databases and knowledge base apps

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mariyam_systems
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mariyam_systems
mariyamismail

About this gig

Are you looking to turn your private documents, PDFs, databases, or enterprise data into an intelligent AI Knowledge Base? I will build production-grade, secure RAG (Retrieval-Augmented Generation) applications tailored to your business needs.


Whether you need a semantic search engine, an automated legal/document auditing tool, or a multi-tenant enterprise RAG SaaS, I architect high-accuracy systems that eliminate hallucinations.


What I Build:

High-Precision RAG Pipelines (Hybrid Search, Semantic Chunking, Reranking)

Vector Database Integrations (Qdrant, Pinecone, ChromaDB, PGVector)

Support for PDFs, CSVs, Docs, Web Scraping, & Enterprise Databases

Modern UI with Next.js & FastAPI Python Backend

Enterprise Features: Multi-tenancy, Role-Based Access, Citation Tracking


Tech Stack:

Frameworks: Python, FastAPI, LangChain, LlamaIndex, Next.js, TypeScript

Vector DBs: Pinecone, Qdrant, Weaviate, ChromaDB

Models: OpenAI, Claude 3.5, Llama 3, DeepSeek, Custom Embeddings


Why Choose Me?

Clean architecture, zero hallucination focus, full source code delivery, and complete production-ready setup.


Please send a message with your document/data requirements before placing an order!

Get to know mariyamismail

mariyamismail

Full Stack Software Engineer and AI Specialist

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

    English
Hi, I am a Full-Stack Software Engineer and AI Systems Specialist dedicated to building high-performance, scalable applications and intelligent architectures. I design end-to-end technical solutions—from autonomous RAG agents and machine learning pipelines using Python, LangChain, and FastAPI, to lightning-fast, responsive frontends with Next.js. If you are looking for clean code, robust system design, and reliable execution to scale your product, let's build something exceptional together.

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