End-to-end machine learning workflows from training to deployment using Azure ML pipelines.
Connecting GPT models to enterprise data with RAG, vector search, and cost management.
Building production AI agents with Microsoft Foundry, orchestration patterns, and model routing.
Developing AI applications and multi-agent systems using Semantic Kernel SDK and Azure services.