I will build a custom rag chatbot using langchain, llamaindex, and openai

T
tahaahmad15
T
tahaahmad15
Taha Ahmad

About this gig

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

that answer questions accurately using your own documents, databases, 

or knowledge bases.


Whether you need a customer support bot, internal knowledge assistant, 

or document Q&A system I deliver end-to-end pipelines that actually work.


What you get:

Custom RAG pipeline (LangChain / LlamaIndex)

Vector DB integration (Pinecone, ChromaDB, FAISS)

PDF, URL, CSV, database & Notion support

OpenAI, Claude, Mistral or open-source LLM

Voice input/output support (Whisper + TTS)

Clean REST API or Streamlit UI

AWS / Azure / HuggingFace deployment


I have built VoiceRAG a real-time voice-enabled RAG system and 

production pipelines tested on financial datasets. I don't just 

prototype, I build things that scale.


Tech: Python · LangChain · LlamaIndex · OpenAI · Pinecone · 

FastAPI · Streamlit · Docker · AWS · Azure

Get to know Taha Ahmad

Taha Ahmad

AI System Engineer

  • FromPakistan
  • Member sinceOct 2023
  • Avg. response time2 hours
  • Languages

    English, French, Chinese
I'm an AI/ML Engineer with hands-on experience delivering production-ready AI systems that actually move business metrics. My expertise includes: RAG & LLM Systems — Retrieval-Augmented Generation, agentic workflows, tool-calling, fine-tuning (SFT/PEFT) Voice AI — real-time STT/TTS pipelines, conversational voice agents Computer Vision: YOLO, SAM, ByteTrack, video annotation pipelines, model benchmarking Backend & APIs: FastAPI, Python, PostgreSQL, Docker, Redis, Google Cloud Previous roles, results 60% reduction in infrastructure costs via distributed inference systems

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