I will custom ai agents, langgraph mcp server development

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cuongdc03
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cuongdc03
Cuong D

About this gig

Do you need an AI assistant that answers questions accurately based on your company documents, PDFs, manuals, or databases without hallucinating?

I build production-ready Retrieval-Augmented Generation (RAG) systems tailored to your specific knowledge base. Backed by experience optimizing document retrieval at scaleincluding improving AWS Bedrock Knowledge Base performance by +22.9%I build fast, deterministic, and accurate Q&A engines.

️ Whats Included:

  • Intelligent Chunking & Ingestion: Ingest PDFs, Markdown, Word docs, CSVs, or web pages.
  • Advanced Retrieval & Re-ranking: Hybrid search (vector + keyword search), semantic reranking, and query translation to eliminate irrelevant answers.
  • AWS Bedrock / Cloud Vector DBs: Integration with Pinecone, Qdrant, Chroma, or AWS Bedrock Knowledge Base.
  • Backend & Streaming UI Support: Asynchronous FastAPI backend delivering token-by-token streaming via SSE or WebSockets.
  • Source Citation: Clear references to source documents and page numbers for every answer.

Tech Stack:

  • Frameworks: Python, LangChain, LlamaIndex, FastAPI
  • Cloud & Search: AWS Bedrock, Amazon Kendra, OpenSearch, Pinecone / Qdrant
  • Deployment: Docker, Linux, CI/CD ready

Get to know Cuong D

Cuong D

AI Engineer

  • FromVietnam
  • Member sinceNov 2024
  • Avg. response time1 hour
  • Languages

    English, Vietnamese
I am an AI Engineer with ~1.5 years of hands-on experience building production AI systems, including RAG chatbots and search pipelines. I specialize in turning emerging tools into impactful solutions, currently focusing on agentic systems and retrieval optimization at an early-stage startup.

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