SaifCodesAI engineer · Full-stack
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Custom RAG systems and AI automation, built end to end, from the first demo to the server it runs on.

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All case studies

SaaS/AI

Project Chat AI

An AI assistant that knows your project. It answers questions from your own documents and connected drives.

PythonFastAPIPostgreSQLOpenAIDjangoReactNext.jsPyTorchTransformersvLLM
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projectchat.ai
Project Chat AI workspaces dashboard with projects, collaborators and a Chat with Workspaces button

An AI assistant that actually knows your project. Upload your documents or connect Google Drive or Dropbox, and ask questions in plain English. It answers from your own data, not guesses.

The challenge

General chatbots are great at general questions, but they know nothing about your work. Teams kept copying and pasting documents into prompts. They needed an assistant that already had the context and kept every project separate.

What I built

  • Workspaces: create a workspace for each project and upload the documents it should learn from.
  • Cloud drive sync: connect Google Drive, Dropbox and other drives so data comes in automatically.
  • Answers grounded in your data: an enterprise-grade RAG pipeline finds the right passages before the AI responds.
  • Compare models side by side: send one question to several AI models at once and pick the best answer.
  • Parallel image generation: create images with multiple models at the same time.
  • Admin dashboard: manage workspaces, users and data in one place.

Tech behind it

  • Python, FastAPI & Django on the backend.
  • React & Next.js for the interface.
  • PostgreSQL for app data.
  • GPT-4 and custom fine-tuned models, served with PyTorch, Transformers & vLLM.

Want something like this?

Custom RAG Development

Fixed quote after a free scoping call