I will build a custom rag system and ai powered app using langchain and fastapi

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Rehan Tariq

About this gig

Stop Paying for AI That Ignores Your Data.


Generic chatbots give generic answers. I build RAG systems and AI powered apps that work with your actual documents, your knowledge base, and your product stack. Accurate retrieval. Real context. Code you own and can extend.


WHAT I BUILD


AI Apps: Full stack applications with LLM integration using FastAPI and React. Built to production standard, not just a demo you show once and throw away.

RAG Systems: Connect AI to your private documents, PDFs, tables, and scanned files for context aware, citation backed responses that actually reference your data.

Multimodal Pipelines: Combining text, OCR, and structured data retrieval into one unified AI system that handles mixed format document sources.


WHY IT MATTERS


Most AI integrations fail because the model has no access to your actual data. RAG fixes that. I have built multimodal RAG systems handling PDFs, scanned files, and tables simultaneously, and full stack AI platforms with fine tuned LLMs.


TECH STACK


Python, LangChain, FAISS, pgvector, FastAPI, React, HuggingFace, OpenAI


Have a use case in mind? Message me and let's figure out what's possible.

Get to know Rehan Tariq

Rehan Tariq

Full Stack AI Developer for Web Apps RAG and Model Training

  • FromPakistan
  • Member sinceDec 2022
  • Languages

    English
I'm a full-stack and AI developer who turns ideas into working products: web apps, RAG systems, and fine-tuned AI models that actually solve problems, not just demo well. I build with React, FastAPI, LangChain, and FAISS, and fine-tune models with LoRA/QLoRA when off-the-shelf APIs aren't precise enough. I've shipped a full-stack AI platform with a fine-tuned LLM for adaptive question generation, and a multimodal RAG system that pulls answers from text, tables, and scanned documents. I also debug and review code in Python, C, C++, and Java. Clean code, clear communication, no surprises.