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I will build an ai chatbot on your documents with rag
Fahad Md Kamal
Über diesen Service
Want an AI assistant that answers using YOUR documents instead of guessing? I build retrieval-augmented generation (RAG) chatbots and AI workflows with LangChain and OpenAI, Azure OpenAI or Claude.
I've taken an AI document-processing workflow to production, turning recordings and PDFs into structured reports and cutting manual reporting by 60%.
What you get:
- Chatbot that answers from your PDFs, docs or knowledge base
- Source citations so answers can be checked
- Clean Python backend (FastAPI) with an API you can plug into your site or app
- Guardrails: it says "I don't know" when the answer isn't in your data
- Setup guide and handover
Works with PDFs, Word docs, web pages, and audio/video transcripts.
Message me with your use case and a sample of your documents (no confidential data needed to start).
Lerne Fahad Md Kamal kennen
Fahad Md Kamal
Web and Database designer and developer
- AusBangladesch
- Mitglied seitSept. 2017
- ⌀ Antwortzeit1 Stunde
Sprachen
Bengalisch, Englisch
Senior backend engineer with 6+ years building production SaaS, healthcare and data platforms in Python and Go. I design clean, well-tested REST APIs (Django, DRF, FastAPI), add AI features like RAG chatbots with OpenAI, Azure OpenAI and Claude, and ship containerized services on AWS with CI/CD. I've worked on systems serving 3,000+ concurrent users at 99.9% uptime and pipelines processing 5M+ records. You get clear communication, documented code and updates at every step.
Mein Portfolio
FAQ
Which AI model will you use?
OpenAI, Azure OpenAI or Claude — your choice. You pay the model provider's usage costs directly.
Is my data safe?
I only use your documents to build your bot. I don't reuse or share them.
How accurate will it be?
It depends on your document quality. I test with sample questions and share the results.
