Muhammad H.

Your team may be spending USD 50,000–500,000 per year on repetitive work that AI can automate. I design and build production-grade AI systems that reduce manual operations, improve response times, and create measurable business value. I specialize in turning complex workflows into reliable software—not building chatbot prototypes that stop working after the demo. What I build AI agents and multi-agent workflows. RAG and enterprise knowledge assistants. AI document extraction and structured data pipelines. Voice AI and conversational systems. WhatsApp, Slack, and Microsoft Teams automation. MCP servers and tool-enabled AI applications. AI-powered order, invoice, and workflow processing. Computer-vision search and image-matching systems. Custom AI SaaS platforms. LLM evaluation, observability, and cost optimization. Secure API integrations with CRMs, ERPs, and business software. Selected experience AI regulatory-documentation platform: Built an agentic platform for document extraction, template generation, data propagation, and human-in-the-loop validation using Google ADK, LiteLLM, AWS, and multi-agent orchestration. Financial-document intelligence: Developed a Claude-powered pipeline for processing long financial documents, extracting governed structured data, and generating defensible outputs. The system included evaluation datasets and edge-case testing. Enterprise knowledge assistant and visual search: Built an Azure OpenAI assistant that retrieves information from emails, support tickets, and legacy ERP data. Also developed a reverse-image-search system for jewelry B2B commerce. AI order processing: Created a system that parsed purchase orders across more than 25,000 SKUs and reduced processing time from approximately 30 minutes to under one minute. The solution also provided conversational access to orders, invoices, inventory, and support cases. Voice AI and WhatsApp automation: Built voice and WhatsApp workflows for reservations and event inquiries across a multi-location hospitality business. AI lead-discovery platform: Developed an AI agent that monitors public sources for construction opportunities, filters relevant leads, prevents duplicates, and delivers updates to Microsoft Teams. Healthcare AI assistant: Built a voice, chat, OCR, and knowledge-based assistant for test discovery, appointment booking, prescription parsing, and report-related workflows. Immigration case-processing SaaS: Developed a multi-tenant platform for case management, OCR document extraction, petition-drafting assistance, and billing integrations. Technology stack AI and agents: OpenAI, Claude, Gemini, AWS Bedrock, LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, LiteLLM, and MCP. Voice AI: Retell AI, ElevenLabs, Whisper, OpenAI Realtime API, and custom voice-agent systems. RAG and document intelligence: Pinecone, Weaviate, Qdrant, ChromaDB, PDF parsing, OCR, structured extraction, and ERP-connected knowledge systems. Backend and frontend: Python, FastAPI, Django, PostgreSQL, Redis, React, Next.js, Docker, and REST APIs. Cloud and integrations: AWS, Azure, Google Cloud, HubSpot, Salesforce, NetSuite, Oracle, QuickBooks, Stripe, Slack, Microsoft Teams, Zapier, Make, WhatsApp, and custom APIs. Observability and evaluation: LangSmith, Logfire, Arize Phoenix, tracing, evaluation datasets, regression testing, and token-cost monitoring. How I work Analyze the existing workflow and identify where time, revenue, or accuracy is being lost. Define measurable success criteria before development begins. Design the architecture, integrations, security boundaries, and human-review process. Build an initial working version for early validation. Add testing, evaluation, monitoring, fallbacks, and production safeguards. Deploy the system and provide documentation and handover support. I provide clear milestones, defined deliverables, transparent communication, and end-to-end ownership from architecture through production deployment. Good fit I am a strong fit if: You need more than a basic chatbot. Your project involves documents, business data, APIs, CRMs, ERPs, or internal tools. You want AI connected to real operational workflows. You value reliability, security, testing, and measurable outcomes. You have a clear decision-maker and an appropriate development budget. I may not be the right fit if the lowest price is your primary selection criterion or you expect a complex production system without discovery, testing, and iteration. If your team is spending significant time on repetitive document processing, research, support, communication, or data-entry work, send me your current workflow. I can help identify what should be automated, what should remain human-reviewed, and how to build a reliable system around it.