Muhammad dayyan

AI Agents, RAG Pipelines, Voice AI, LangGraph Workflows, Full Stack AI Apps. I build production-ready agentic systems that handle real users, real workflows, and real business problems.

Building an AI agent that works in a demo is easy. Building one that actually runs your business, handles calls, manages tasks, talks to your tools, and keeps working when things get messy, that's what I do.

My recent work includes:

Building a production multi-agent platform with 15+ specialized agents running 25+ concurrent instances across 7 channels including chat, voice, email, SMS, WhatsApp, and browser, integrated with 20+ third-party services.

Developing voice AI agents for inbound and outbound calls with lead qualification, smart routing, and automated post-call summaries, cutting manual call handling time by over 60%.

Building RAG systems using semantic search and hybrid retrieval across short and long-term memory indexes. The result is an AI that pulls accurate answers from a business's own documents and data, reducing hallucinations by up to 40% and improving response relevance scores significantly compared to standard LLM setups.

Shipping full stack AI apps end to end, agent logic, Python backend, and React or Next.js frontend, so clients get one working product instead of three disconnected pieces.

I don't just connect APIs. I think about what the system needs to do six months from now. That's the difference between a demo and something you can run your business on.

What I build:
→Multi-agent systems with LangGraph and OpenAI Agents SDK, stateful, memory-enabled, and handling complex decision logic.
→RAG pipelines with semantic search, hybrid retrieval, and persistent memory across short and long-term indexes.
→Voice AI agents with real-time transcription, call routing, and post-call summaries.
→Full stack AI apps with FastAPI backends and React or Next.js frontends.
→LLM integrations across OpenAI, Claude, and Gemini with provider-agnostic routing.
→Browser automation agents that run multi-step tasks autonomously.

Tech stack: Python, FastAPI, LangGraph, LangChain, LangMem, OpenAI Agents, Hugging Face, Pinecone, FAISS, ChromaDB, Redis, MongoDB, PostgreSQL, Twilio, ElevenLabs, Node.js, React, Next.js, Docker, GitHub Actions, AWS, Google Cloud, MCP, WebSockets.

Have a project? Message me with what you're trying to build and where it's getting stuck. I'll come back with a concrete plan, no charge.