I will build a production ready rag pipeline with llm

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subhadip_sasmal
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subhadip_sasmal
Subhadip sasmal

About this gig

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.

Get to know Subhadip sasmal

Subhadip sasmal

software engineer

  • FromIndia
  • Member sinceJul 2026
  • Avg. response time1 hour
  • Languages

    English, Hindi, Bengali, Spanish
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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