Apis, Microservices, response governance, enterprise knowledge architectures, AI orchestration frameworks, orchestration patterns, Generative AI, data pipelines, LLMs, retrieval optimization, integration mechanisms, tool calling, evaluation grounding, multi-agent architectures, knowledge layers, prompt engineering, vector stores, Agentic AI, hallucination mitigation, RAG, reranking, MCP context engineering

lifecycle management , Devops, feedback loops, AI application engineering, Monitoring, operationalizing AI-enabled systems, agentic systems, build and release workflows, workflow automation, enterprise AI platforms, platform integration, CI CD pipelines, evaluation methods, cost-aware AI design, observability

Ms Azure, Tensorflow, Grafana, Azure Machine Learning, Pytorch, Terraform, Azure DevOps, Elk Stack, Azure Data Factory, Apache Spark, Ansible, Azure Logic Apps, Azure Functions, Prometheus, FastAPI, Kubernetes, Python, Docker, Jenkins, Apache Kafka, scikit-learn, Application Insights, AKS, Azure Monitor, Azure ML Flow, DVC, GitHub Actions, CI CD tools, MLflow, DevContainer