I will build a custom ai agent with tool use, memory, and langchain

C
coregrit
C
coregrit
Chandana
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Most AI chatbots are just fancy search bars. You ask something, it finds the closest match, done. That's not an agent that's autocomplete with a personality.

What I build is different.


I create AI agents that actually do things. They can pull answers from your documents, query your database in real time, send emails, book appointments, search the web all within a single conversation. Built on LangChain and LangGraph, connected to whatever tools your business actually uses.


I built a multi-tenant RAG platform with dynamic LLM switching, so it can shift between OpenAI, Claude, and Gemini based on cost, speed, or task. Building that taught me where these systems actually break and how to build them right the first time.


WHAT YOU'LL GET:

  • An agent that answers from your data (PDFs, database, website your choice)
  • Tool integrations so it can take real actions, not just talk
  • Memory so it actually remembers the conversation
  • Clean REST API you can plug straight into your app
  • Full source code, deployment guide, and 3 days of support after delivery


Not sure if you even need an agent? Message me. I'll tell you honestly.

Conoce a Chandana

Chandana
5.0(3)
  • DeIndia
  • Miembro desdesep 2025
  • Última entrega6 meses
  • Idiomas

    Inglés
I’m a Backend Engineer with 8+ years of experience, now specializing in building AI-powered apps with LLMs, ML, and scalable APIs. I deliver RAG chatbots (LangChain + FAISS/Pinecone), custom ML APIs (FastAPI + Docker, churn/risk models), and robust backends (NodeJS, PostgreSQL, Redis). 💡 Projects: RAG PDF Q&A App, Loan Default Predictor, CNN Image Classifier. I focus on clean, production-ready code clients can deploy with confidence.