Rehan H.

I build AI agents and autonomous agentic systems that complete multi-step tasks without hand-holding. RAG systems that let your users query private documents, databases, or knowledge bases accurately. LLM apps built on OpenAI, Anthropic Claude, Gemini, or open-source models, fine-tuned and prompt-engineered for your use case. Voice agents and voice AI products. Full-stack web applications with Python, Golang or Node.js backends and React/Next.js frontends. Machine learning models for NLP, classification, and prediction. API integration that connects your AI layer to CRMs, databases, and third-party services. AI chatbots for support, sales, and internal workflows. A few use cases:

⏵ AI Agents -- multi-agent pipelines, autonomous task systems, tool calling, MCP, orchestration

⏵ RAG Systems -- document retrieval, knowledge base search, structured outputs, cited answers

⏵ LLM Apps -- prompt engineering, LangChain, LlamaIndex, LangGraph, CrewAI, fine-tuning workflows

⏵ Voice Agents -- call handling, lead qualification, live transfer, conversation summarization

⏵ Document Intelligence -- PDF, invoice, contract, legal/medical and form extraction into structured data

⏵ Full-Stack AI Development --- Python, Node.js, React, Next.js, REST APIs, cloud deployment

⏵ AI Integration -- API integration, webhooks, Sheets, Airtable, Make, Zapier, Slack, CRMs, ERPs, payment flows

⏵ Languages and frameworks: Python, JavaScript, React, Next.js, Node.js, Bunjs, LangChain, LangGraph, PyTorch, TensorFlow. Infrastructure: AWS, Supabase, Pinecone, Weaviate, Redis. I use n8n or Make when a workflow tool is genuinely the right choice and never as a substitute for real engineering.

⋞▬ HOW I WORK ▬▬⮞

No mystery work. No polite silence while something burns. No pretending a demo is production. Async communication that respects your timezone.

Client work comes first. Risks surface early. I explain decisions in plain English. Systems are built to stay maintainable after handoff. If the miss is on me, I fix it, reduce the invoice, or refund - I would rather lose money than pretend something landed when it clearly did not.

Even your rough idea for mvp AI agent and RAG projects regularly move from spec to production in under 48 hours. Speed matters. But only if the system still works when real people start clicking buttons and ignoring instructions.