I will build a custom rag chatbot trained on your pdfs, website and documents data

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alokkumar091
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alokkumar091
Alok Kumar

About this gig

Turn your documents into a chatbot that actually knows your business.

I build RAG (Retrieval-Augmented Generation) chatbots that answer questions accurately from your own data PDFs, manuals, websites, or knowledge bases instead of generic AI responses.

What I can build for you:

  • Chatbot trained on your PDFs, DOCX, or website content
  • Customer support bot that answers from your product docs/FAQs
  • Internal knowledge base search for your team
  • Conversation memory so the bot remembers context across a chat
  • Vector database integration (Qdrant, Pinecone, Chroma) for accurate, fast retrieval

Why work with me:

  • Built multimodal, real-time RAG pipelines as part of a hackathon-winning multi-agent system
  • Fine-tuned domain-specific LLMs with measurable accuracy gains (76% on a specialized benchmark)
  • Production ML internship experience I build for reliability, not just demos

Tech stack: Python, LangChain, FastAPI, OpenAI, Gemini, Claude, Qdrant, ChromaDB, Docker

  • Have documents in a different format or a specific use case? Message me happy to scope it.

Get to know Alok Kumar

Alok Kumar
  • FromIndia
  • Member sinceJun 2025
  • Avg. response time1 hour
  • Languages

    Hindi, Bihari, English
I’m an AI and Machine Learning engineer building practical intelligent systems with Python and modern deep learning tools. My work focuses on NLP, computer vision, and agent-based AI systems. I’ve developed projects such as a real-time vision system for detecting and tracking people, a crop disease detection solution for farmers, a physiotherapy pose-estimation system, and a NEET biology AI tutor created by fine-tuning a 4B-parameter language model trained on 40 years of exam questions.

My Portfolio