I'm Qinglei Wang, a full-stack and integration engineer with over 20 years building systems that have to work in production, not just demo well. I take a build end to end: the backend, the AI layer, the integrations, and the operations around them. Most of my work sits in three places. AI and automation: LLM workflows, RAG over a client's own content, chatbots and voice agents, and the pipelines that keep them fed. Systems integration: tying ERPs, CRMs, middleware, legacy systems and APIs together so data actually moves between them, reliably and traceably. Full-stack and cloud: Python backends, modern front-ends, mobile apps, and the DevOps to deploy and keep them running. I also come from a real electronics and communications background, which is why I'm comfortable at the awkward edges most software engineers avoid: devices, protocols, signal-level problems, IoT. It means one engineer can own the whole path from the device to the cloud to the AI layer, instead of you stitching specialists together. ✅ AI & LLM Engineering – RAG, AI agents, chatbots, voice agents, NLP, computer vision ✅ Automation & Integration – n8n/Make/Zapier, API and CRM integration, workflow automation ✅ Enterprise Integration – ERP, middleware, message queues, EDI/AS2, legacy modernization ✅ Full-Stack Web – Python/Django/FastAPI, PHP/Laravel, React/Vue, WordPress/Shopify ✅ Mobile – Flutter and React Native, including Chinese-OEM background location and IM SDKs ✅ Cloud & DevOps – AWS, GCP, Docker, Kubernetes, Terraform, Linux ✅ Data & Scraping – pipelines, structured extraction, dashboards, SQL and NoSQL design ✅ Electronics & Embedded – firmware, RF/wireless, BLE/LoRa/MQTT, IoT, signal processing