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AI Customer Support Agent with Tool-Calling & Mock CRM
Built a FastAPI-based customer support agent that uses LLM tool-calling to look up orders, retrieve customer info, and escalate or process refunds against a mock CRM (SQLite). Implemented a full agent loop: the model decides when a tool is needed, Python executes it, and the result feeds back into the conversation. Added session-based memory with automatic summarization for long conversations, plus guardrails to keep the agent on-topic. Designed as the foundation for tool-calling patterns reused in later multi-agent work.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Hii Divya,looking forward to connect with you 😊
Customer support teams burn most of their time answering the same handful of questions over and over. This agent takes that load off entirely: it understands what a customer is asking, pulls the accurate answer from your knowledge base using RAG, and holds context across the full conversation — not just a single reply.
The real value is in what it doesn't do. When a query falls outside what it can confidently resolve, it hands off to a human cleanly instead of guessing or looping the customer in circles — so support quality holds up even on the edge cases.
Built on LangGraph and LangChain for the reasoning layer, FastAPI for the backend, giving support teams a first line of response that's fast, accurate, and honest about its own limits.
Vedetta AI: Autonomous Lead Prospecting Agent
The Problem: B2B agencies spend countless hours manually searching platforms for leads and filtering out low-budget opportunities. The Solution: I built a custom Node.js autonomous agent that works 24/7. It continuously monitors data sources, parses unstructured text, and passes it through a strict Claude/Gemini scoring model to determine real commercial intent. It then drafts a highly personalized outreach message and pushes it to a Telegram channel for a 1-click human approval. It entirely automates the top of the sales funnel. Tech Stack (Skills da taggare): Node.js, TypeScript, AI Agents, Prompt Engineering, API Integration.
Clean work!
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