Muhammad Adnan T.

AI Engineer | AI Automation Expert | AI Agents, MCP, RAG, Claude code

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 that connect AI with real business data, tools, APIs, CRMs, and operational workflows. 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. My focus is building AI systems that can 𝐫𝐞𝐚𝐬𝐨𝐧, 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧, 𝐮𝐬𝐞 𝐭𝐨𝐨𝐥𝐬, 𝐦𝐚𝐤𝐞 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐞𝐱𝐞𝐜𝐮𝐭𝐞 𝐦𝐮𝐥𝐭𝐢-𝐬𝐭𝐞𝐩 𝐭𝐚𝐬𝐤𝐬 with controlled workflows, structured outputs, monitoring, and human oversight where required. AI Agents | Agentic AI | Generative AI | AI Automation | LLMs | RAG | MCP | Voice Agents | Claude Code | Workflow Automation | CRM & API Integration 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Build autonomous and multi-agent systems for real business processes: • Stateful agent workflows with conditional routing and memory • Multi-agent orchestration and tool calling • MCP-based integrations with external systems and business tools • Structured outputs, monitoring, logging, and failure handling • Human-in-the-loop controls for critical actions 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, CrewAI, LangChain, AutoGen, OpenAI, Claude, MCP, LangSmith 𝐑𝐀𝐆, 𝐋𝐋𝐌 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Develop enterprise AI systems that work with private and domain-specific knowledge: • Hybrid semantic, keyword, and metadata retrieval • Structure-aware document processing and chunking • Vector and graph-based retrieval • Enterprise knowledge assistants and AI search • Grounded responses and retrieval evaluation 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Pinecone, Weaviate, Qdrant, LlamaIndex, OpenAI, Claude, Mistral, graph-based retrieval 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 Connect AI agents to business workflows, CRMs, APIs, communication systems, and operational processes. • End-to-end AI workflow automation • CRM, email, document, and API integrations • n8n, Make, webhooks, and REST APIs • AI voice agents for sales, support, qualification, scheduling, and operations • Real-time voice interaction, tool calling, CRM actions, and post-call automation 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: n8n, Make, Vapi, Twilio, ElevenLabs, Whisper, LiveKit 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Alongside modern LLM systems, I have strong engineering experience in 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐯𝐢𝐬𝐢𝐨𝐧, 𝐎𝐂𝐑 𝐚𝐧𝐝 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. • Predictive scoring, classification, forecasting, and domain-specific ML • Computer vision and deep learning systems • OCR and document-processing pipelines • Model fine-tuning and adaptation • AI/ML backends and production APIs 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Python, FastAPI, PyTorch, scikit-learn, XGBoost, Hugging Face, OCR frameworks, PostgreSQL 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Build the application and infrastructure required to turn AI capabilities into production products: • AI-powered SaaS platforms and backend systems • AI backends, APIs, and scalable services • AI dashboards and interfaces with React / Next.js • PostgreSQL, Redis, vector databases, and cloud infrastructure • AWS, Azure, GCP, Docker, and CI/CD 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 🔹Production-ready AI agent and multi-agent systems 🔹RAG and enterprise knowledge platforms 🔹MCP and LLM integrations 🔹AI voice agents and conversational systems 🔹AI-powered automation workflows 🔹AI/ML, computer vision, and document intelligence solutions 🔹Scalable AI SaaS, APIs, and production backends 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.