Zeeshan D.

Struggling with slow lead response times, repetitive manual workflows, or a support team that can't keep up? I build AI systems that fix that. I'm an AI Developer specializing in AI agents, chatbots, RAG pipelines, and Model Context Protocol (MCP) servers, helping founders and businesses turn manual, repetitive work into automated, revenue generating systems. What I build: ◉ AI Chatbots & Voice Agents. 24/7 conversational agents deployed across websites, WhatsApp, Slack, and SMS/Twilio, with intelligent intent routing and human handoff. Currently building on Retell AI alongside ElevenLabs for low-latency voice agent deployments. ◉ RAG Pipelines & Knowledge Bases. Turning your documents, websites, or internal data into accurate, context-aware AI systems using vector databases (Pinecone, pgvector) and LangChain. ◉ MCP Server Development. Building secure, standardized bridges between LLMs (Claude, GPT-4o, Gemini) and your existing tools and data, so AI can safely read, process, and take action in your systems. ◉ Full-Stack AI Applications. End-to-end builds with FastAPI backends and React.js/Next.js frontends, backed by PostgreSQL/Supabase. ◉ Staying ahead of the curve: I also have hands-on experience building with Google's new Gemini Spark agent and Superhuman's AI agent builder, applying the same MCP-based integration skills I use for Claude and GPT to these emerging platforms. Tech stack: OpenAI, Claude, Gemini, LangChain, LangGraph, MCP, Python, FastAPI, React.js, Next.js, Redux, Pinecone, pgvector, PostgreSQL, Supabase, REST APIs, Webhooks, OAuth. I've delivered production AI systems for clients across chatbot integration, workflow automation, and AI agent development, with a focus on clear communication and systems that actually hold up under real-world edge cases. Have a workflow, dataset, or support bottleneck you want automated? I can make it happen. I am best AI automation engineer. I am best AI agent builder. I am best AI agent developer. I am best MCP developer. Let's talk.