Ahmed Rashid Q.

I build production-ready AI automations, RAG systems and full-stack AI applications that reduce manual work and connect reliably with existing business tools. My work includes AI-powered workflow automation, document knowledge assistants, customer-support systems, lead qualification pipelines, API integrations and custom AI applications. I can help you with: • AI workflow automation using n8n and custom Python services • RAG systems using Qdrant and other vector databases • OpenAI, Claude and multi-model LLM integrations • FastAPI backends and Next.js applications • CRM, email, Slack, Google Workspace and third-party API integrations • Docker and AWS deployment • Structured outputs, retries, logging, monitoring and error handling • Human approval steps for sensitive AI actions Unlike basic AI prototypes, I focus on systems that are reliable after deployment. This includes handling failed API calls, poor model outputs, missing information, cost controls and production monitoring. Examples of systems I can build: • AI lead intake and qualification workflows • Internal knowledge assistants with document citations • AI customer-support and ticket-triage systems • Automated document processing pipelines • CRM and reporting automations • Full-stack AI SaaS products and internal tools My core stack includes Python, FastAPI, Next.js, TypeScript, n8n, Qdrant, PostgreSQL, Docker, AWS, OpenAI, Claude, Langfuse and Sentry. I currently maintain a 100% Job Success Score on Upwork with more than 225 hours completed. Send me your current workflow, the tools involved and the result you want. I will help you identify the smallest reliable version we can build first.