Over the past decade, I’ve led the design and deployment of enterprise AI systems, including fine-tuned GPT and LLaMA models for internal knowledge platforms and automation workflows. I built an MLOps framework that reduced model deployment cycles from two weeks to three days, improving release velocity and operational reliability. My experience includes large-scale data pipelines (terabyte-scale ETL), production RAG systems, and scalable inference infrastructure. I focus on building AI products that are stable, cost-efficient, and ready for real users. If you need senior-level execution to move from concept to launch, message me with your project scope.