I will build a custom rag chatbot with langchain over your documents

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dilrabokhidirov
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dilrabokhidirov
Dilrabo

About this gig

Need a chatbot that actually KNOWS your business your docs, your 

policies, your data and doesn't hallucinate?


I build production-grade RAG (Retrieval-Augmented Generation) chatbots 

that ground every answer in YOUR documents using LangChain + ChromaDB 

+ GPT-4 / Claude / Llama.


WHO I AM:

ML Engineer with MSc in Software Engineering (AI), Honours

Internships at EPAM Systems & Numeo.ai building production RAG

Published AI researcher (MIT@AIS-2025, Kraków 2025)

Past results: 96% accuracy, 40% faster inference, 40% less manual work


WHAT YOU GET:

Custom RAG pipeline over your PDFs, DOCX, websites, or databases

Hybrid retrieval (semantic + BM25) for accurate, cited answers

FastAPI backend ready to plug into your app or website

Optional Streamlit UI for instant demos

Source code, clean documentation, deployment instructions

Hallucination guardrails answers stay grounded in YOUR data


PERFECT FOR:

SaaS founders adding AI to their product

Agencies building chatbots for clients

Consultants, lawyers, educators with knowledge bases

E-commerce, healthcare, finance domains where accuracy matters

Get to know Dilrabo

Dilrabo

Machine Learning Engineer

  • FromUzbekistan
  • Member sinceMay 2026
  • Languages

    English, Uzbek, French
AI/ML Engineer specializing in LLM systems, RAG pipelines, and computer vision. MSc Software Engineering (AI), Honours. Internships at EPAM Systems and Numeo.ai. Published researcher at MIT@AIS-2025 and Kraków Cybersecurity Conference 2025. LLM chatbots and RAG (LangChain, OpenAI, ChromaDB) Custom computer vision models (YOLOv8, TrOCR, DenseNet, ResNet) End-to-end ML deployment on FastAPI + Docker + Azure/GCP AI automation workflows with n8n 96% detection accuracy, 40% faster inference, 12% improvement in logistics prediction, 40% reduction in manual operations via LLM automation.

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