Mikhail
AI engineer with experience building cost-effective, cloud-automated ML systems and LLM-based solutions. I’ve designed end-to-end pipelines for sentiment analysis, content generation, and forecasting, and worked on real-world deployments that balance performance with budget constraints. My recent focus has been on LLMOps, AI infrastructure, and workflow optimisation — especially in marketing and energy domains. I enjoy the full scope of AI work: from model selection and integration to cloud architecture and automation.