I will build grounded rag apps ai agents with langgraph langchain

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Sauhard D

About this gig

I build reliable, production-ready AI agents and RAG systems that actually work in real-world applications not demo-only chatbots.

If you are a startup, founder, or team looking to:

  • Build an AI agent on your own data
  • Reduce hallucinations and improve grounding
  • Deploy a scalable RAG or multi-agent system
  • Integrate AI into an existing product

you are in the right place.

What I can build for you

  • RAG pipelines using your documents, databases, or APIs
  • AI agents using LangChain and LangGraph with tool calling
  • Multi-agent workflows for complex reasoning tasks.
  • Chatbot integration.
  • Model fine-tuning, light fine-tuning, LoRA, prompt optimization
  • Cloud deployment with basic monitoring
  • Cost and latency optimization for production use

What you will get

  • Clean, well-structured source code
  • A functional web-based AI system.
  • Clear explanations and usage instructions
  • Optional evaluation report with custom metrics

Why work with me

  • Focus on low hallucination, predictable outputs
  • Production-first mindset.
  • Clear communication and realistic timelines.
  • Flexible scope depending on your needs.

Get to know Sauhard D

Sauhard D

Applied AI Engineer

  • FromIndia
  • Member sinceFeb 2026
  • Languages

    English, French
LangGraph & RAG Specialist | Production AI Agents & LLM Engineer Struggling with hallucinating LLMs, weak retrieval, or prototypes that fail in production? I build reliable, low-cost LangGraph multi-agent systems and grounded RAG pipelines that ship and scale. Live proof: SciNets.in — production platform processing 9–10 papers/run at ~$0.10 using graph-constrained multi-hop reasoning, custom eval metrics (symbolic depth, grounding stability), full stack (FastAPI, Postgres, Docker, OAuth). Tech: LangGraph, LangChain, RAG, PyTorch/Transformers, FastAPI, Docker, Python.