I will build a production ready rag pipeline with llm

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subhadip_sasmal
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subhadip_sasmal
Subhadip sasmal
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I build custom AI systems that answer questions straight from your own documents, not random guesses. This is RAG (Retrieval Augmented Generation): your files become a searchable knowledge base, and every answer comes with its source.

What you get:

  • AI chatbot/API connected to your PDFs, docs, or website
  • Hybrid search (keyword + AI) so the right info gets found
  • Accurate, cited answers, not guesses
  • Clean code you fully own, not a locked no-code tool

Shipped systems like this for real companies, running in production. Product engineer at Oracle by day, this is my side build.

I also build rule-based chatbots, simpler and predictable. No "thinking", just fixed steps and preset options.

Example:

Bot: Hi! Choose: Hours, Track Order, or Returns.

User: Track Order

Bot: Enter your order number.

User: 12345678

Bot: Your order arrives tomorrow.

User: Can I get a discount?

Bot: Sorry, please choose: Hours, Track Order, or Returns.

Go rule-based for repetitive FAQs. Go RAG for large, varied documents.

Message me before ordering if your project is bigger or specific, happy to walk you through it.

Conoce a Subhadip sasmal

Subhadip sasmal

software engineer

  • DeIndia
  • Miembro desdejul 2026
  • Responde aprox. en:1 hora
  • Idiomas

    Inglés, Hindi, Bengalí, Español
Software Engineer with 5 years building production apps used by billions of users at Fortune 500 companies. This is my github https://github.com/Devfusion009 . Now I am founder of Codegang help to businesses actually use AI integrating LLMs, automating repetitive workflows (n8n), and building RAG chatbots into real products. I also turn messy data into decisions: cleaning datasets, time-series analysis, and Power BI dashboards. One thing I can assure that you're hiring someone who's shipped real products and met real deadlines not learned from YouTube. Let's build something great.

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