Muhammad Adnan T.

With a 𝐏𝐡.𝐃. 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐒𝐭𝐮𝐭𝐭𝐠𝐚𝐫𝐭 (𝐆𝐞𝐫𝐦𝐚𝐧𝐲) and a Habilitation from 𝐆𝐞𝐨𝐫𝐠𝐢𝐚 𝐓𝐞𝐜𝐡 (𝐔𝐒𝐀), I bring a rare combination of real-world production engineering experience and deep academic research expertise in 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. I help businesses turn repetitive work into AI-powered business automation that runs 24/7. With 18+ years of hands-on experience in technology and engineering leadership, I build production-grade 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐌𝐂𝐏 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐯𝐨𝐢𝐜𝐞 𝐀𝐈 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 connecting AI agents with CRMs, APIs, databases, documents, communication tools, and internal systems to execute real workflows. My focus is building AI systems that can understand a business process, retrieve the right information, use tools, make decisions, and execute multi-step tasks with structured outputs, monitoring, error handling, and human approval where needed. AI Agents | Agentic AI | Generative AI | AI Automation | LLMs | RAG | MCP | Voice Agents | Claude Code | AI Workflow Automation | CRM & API Integration | Integrated Workflows | AI Integration | Scripting & Automation 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞? ✅Top Rated Plus | 100% Job Success ✅Production AI systems for businesses across the US, Europe and Australia. ✅Experience connecting AI with real business data, tools, APIs and operational systems. ✅ AI automation applied to real production business processes, including workflows achieving substantial reductions in manual work. ✅ Start your project within 48 hours. ✅ Free strategy consultation before you commit. ✅ Fast, professional delivery with clear communication throughout. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 We design and build workflows around how your business actually operates: • Business process and workflow automation • CRM, email, API and SaaS integrations • Lead qualification, routing and follow-up • Sales, customer service and operations workflows • Document and data processing • Reporting and information workflows • Multi-system synchronization • Human-in-the-loop approvals • n8n, Make, webhooks and custom Python workflows This can combine traditional automation with LLMs and intelligent decision-making where a fixed workflow is not enough. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 For processes that require reasoning, context, tool use, or multiple steps, we build agentic systems that can: • Understand goals and business context • Retrieve relevant information • Call APIs, databases and external tools • Make decisions and route work • Maintain state and memory • Execute actions across connected systems • Escalate important decisions to people 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, LangChain, CrewAI, AutoGen, MCP, OpenAI, Claude, Claude Code and LangSmith. 𝐌𝐂𝐏, 𝐋𝐋𝐌 & 𝐑𝐀𝐆 We connect modern LLMs to private business knowledge and external tools through production-ready integrations. • MCP servers and MCP tool integrations • Tool calling and function calling • Enterprise RAG and AI search • Semantic, keyword and metadata retrieval • Vector and graph-based retrieval • Knowledge assistants and internal AI • Grounded responses and source citations • Retrieval evaluation and optimization 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: OpenAI, Claude, LlamaIndex, Pinecone, Qdrant, Weaviate and graph-based retrieval. 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 We build voice and communication systems for sales, support, qualification, scheduling and operations, connected to the underlying business workflows. Vapi, ElevenLabs, Twilio, LiveKit and Whisper, with CRM/API integrations, transcripts, call metrics and post-call automation. We also build intelligent document systems for extraction, classification, OCR, validation, confidence-based routing, computer vision and machine learning. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 When an AI solution needs to become a real product, we handle the engineering behind it: Python | FastAPI | PostgreSQL | PyTorch | Hugging Face | React/Next.js | Redis | AWS | Azure | GCP | Docker | CI/CD This includes AI APIs, SaaS platforms, integrations, authentication, permissions, monitoring, scalable backends and production deployment. The goal is to build reliable 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐝𝐚𝐭𝐚, 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐚𝐧𝐝 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝐫𝐞𝐚𝐥 𝐑𝐎𝐈.