Shabbir ul H.

Still paying people to read emails, re-key data between systems, chase follow-ups and rebuild the same report every week? Those processes are the cheapest thing in your business to automate with AI, and the most expensive to leave alone. I build the systems that take that work off your team: automation pipelines, AI agents that act on your real data and tools, and complete AI-powered products built around them. Seventeen years of software engineering behind it, currently CTO at two technology companies, and 100% Job Success across 25 Upwork contracts and 1,891 hours. That combination matters because most AI projects fail in the same place. The demo works, then it meets real data, real load and a real security review. I build the production system around the AI, not only the AI. WHAT I BUILD AI automation Email automation - triage, classification and drafted replies - plus lead qualification and routing, CRM updates, invoice and document intake and extraction, scheduled reporting, approval flows and internal handoffs. If your team repeatedly reads, classifies, moves, summarises or responds to information, it can usually be automated. I build workflow automation in n8n, Make or Zapier where a no-code tool is genuinely the right answer, and in code when it is not. Most real business process automation ends up as a mix of the two. AI agents and business assistants Agents that use your tools and data rather than only chat: tool calling and MCP servers, retrieval over your own documents with RAG and vector databases, multi-step workflows in LangGraph, CrewAI and n8n, with the guardrails, evaluation and logging needed to run unattended. AI-powered SaaS and internal platforms Complete products with AI inside. Multi-tenant architecture, authentication, billing, dashboards, admin tooling, APIs and deployment, plus intelligent search, document analysis, AI reporting, AI-assisted CRM and AI chatbot development that answers from your own documentation and escalates cleanly to a human. LLM and SLM development Model selection, prompt and evaluation pipelines, fine-tuning, and self-hosted small language model deployment for cases where cost, latency or data residency rule out sending everything to a public API. AI mobile applications React Native apps with AI assistants, voice interaction, document capture and AI-driven workflows. STACK AI and automation: Anthropic Claude, OpenAI, Gemini, LangChain, LangGraph, CrewAI, n8n, Make, Zapier, MCP, RAG, Pinecone, Qdrant, Milvus, ChromaDB, fine-tuning, self-hosted models Backend: .NET 8/9, ASP.NET Core, C#, Python, FastAPI, Node.js Frontend and mobile: React, Next.js, React Native, Angular, Blazor, Tailwind Cloud and DevOps: Azure, AWS, Docker, GitHub Actions CI/CD Data: PostgreSQL, SQL Server, MongoDB, vector databases RECENT WORK Fleet management platform for a government client: .NET, React and Docker with full CI/CD on a hardened VPS Civil aviation permit platform with self-hosted runners and compliance-grade secret management Audit communication API in .NET 8 with templated email workflows Multi-platform POS system across web, tablet and mobile: $11.1K Upwork contract, five stars Industries: FinTech, HealthTech, logistics and government systems. HOW TO START Send me the process you want to remove, not a specification. I will reply within a few hours with what I would automate first, what it would take, and what is not worth automating, including the cases where a rule and a script beat a language model. If it is a fit, I can usually show you a working prototype of the core step before you commit to anything.