AI & DevOps Mentor with LLM Fine-Tuning & n8n Experience

I’m looking for an experienced AI / DevOps engineer for a focused 2–3 hour live technical session. I’m currently working on an AI application and need hands-on guidance with a few real-world issues: * Improving RAG quality and reducing unreliable LLM responses * Reviewing n8n workflows, API integrations, and error handling * Improving deployment setup with Docker/AWS and troubleshooting production issues * Reviewing the overall architecture and identifying anything that should be simplified or changed The session will be practical and collaborative. I’ll share my current setup/code, and I’d like to work through the issues together while understanding the reasoning behind the recommendations. Experience with LLM/RAG systems, n8n, Python, Docker, and AWS is preferred. Initial engagement: 2–3 hours, with possible follow-up work.