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I will build a production rag pipeline with langchain and vector database

H
harshaldonarkar
H
harshaldonarkar
Harshal D

About this gig

Looking to build a RAG (Retrieval-Augmented Generation) system over your documents, knowledge base, or website? You're in the right place.

I'm an AI Engineer with 2 published research papers (IJCNIS, IRJET) and production experience shipping LLM systems at Sambhav AI, where I delivered 50% performance gains. I build RAG pipelines that actually work in production not fragile notebook demos.

What you get:

Clean document ingestion (PDF, DOCX, web, APIs) Vector embeddings with OpenAI or HuggingFace models ChromaDB or Pinecone as your vector store LangChain orchestration with memory and re-ranking Integration with GPT-4o, Claude, or Gemini Clean, documented Python code you own

Why me:

Published in IJCNIS (Deep Learning for Skin Cancer) and IRJET (Job Search ML) Shipped production Whisper + OCR pipelines at Sambhav AI 50% faster Built DevBridge (AI documentation generator 65% time saved) GitHub: github.com/harshaldonarkar Portfolio: harshaldonarkar.github.io

Please message me before ordering so I can confirm feasibility and recommend the right package for your data volume and use case.

Get to know Harshal D

Harshal D

AI Engineer: RAG Pipelines and LLM Integration Expert

  • FromIndia
  • Member sinceApr 2022
  • Languages

    Hindi, Marathi, English
AI Engineer with 2 published research papers (IJCNIS, IRJET) and production deployments. Previously at Sambhav AI where I built Whisper+OCR pipelines and multimodal AI — delivered 50% performance gains. I specialize in RAG systems with LangChain, LLM integration (GPT-4, Claude, Gemini), computer vision with OpenCV, OCR pipelines, and production ML deployment with Docker. I ship working code, not prototypes. Portfolio: harshaldonarkar.github.io | GitHub: harshaldonarkar

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