I will build a rag chatbot over your documents using langchain

S
shaheerhussain5
S
shaheerhussain5
Shaheer H

About this gig

Struggling with AI chatbots that hallucinate or return wrong 

answers from your documents? I build RAG pipelines that actually 

retrieve the right information.


I built FinSight Pakistan a RAG system over 916K words of 

financial reports achieving 75.3% relevancy using hybrid BM25 + 

semantic search with cross-encoder re-ranking. Live on 

HuggingFace Spaces.


What you'll get:

Full RAG pipeline (chunking embedding retrieval LLM)

LangChain + Pinecone (or ChromaDB/FAISS your choice)

Hybrid search for better accuracy

Clean, documented Python code

Working demo


I can work with:

- PDF documents

- Word files / text documents  

- Web pages / URLs

- Custom knowledge bases


Message me before ordering tell me your use case and I'll 

confirm the best approach.


Currently accepting new projects message me to get started.

Get to know Shaheer H

Shaheer H

AI Engineer, RAG Systems, LLM FineTuning, LangChain Python

  • FromPakistan
  • Member sinceApr 2021
  • Avg. response time1 hour
  • Last delivery2 years
  • Languages

    Urdu, English
I build production-ready AI systems — RAG chatbots, fine-tuned LLMs, and intelligent Python applications. My recent work: → FinSight Pakistan: Hybrid-search RAG system over 916K words - 75.3% relevancy score → EdgeAlign: Full SFT → DPO fine-tuning pipeline on Qwen3-0.6B with LoRA adapters — +176% BLEU improvement What I deliver: - RAG chatbots over your documents (PDFs, reports, databases) - Custom LLM fine-tuning on your dataset - LangChain agents and AI pipelines - Full-stack AI web apps (React + Node.js + PostgreSQL) - Python ML scripts and automation

My Portfolio