.NET, Azure Functions, Terraform, Docker, Azure DevOps, Java, Aws Lambda, Jenkins, Kubernetes, AWS Bedrock, Qdrant, vector databases, Pinecone, LangChain Strands, memory retention, Cloud Run, GitHub Actions, ReAct multi-agent coordination tools, Google Vertex AI, RAG architectures, Azure OpenAI Service, ADKs Agent Development Kits, PGVector, GitLab CI, agentic architecture patterns, CI CD pipelines, Milvus, function calling

Kafka, Spring Boot, Microservices, Restful Apis, orchestration frameworks, multi-agent systems, multi-model LLM strategies, Devin Cursor, Clean Architecture, Claude, GitHub Copilot, AI-assisted development tools, Agentic AI platforms, RAG solutions, cloud-native platforms, event-driven architecture, Mortgage domain, Java 17, OpenAI, Gemini

production readiness , Dashboards, Logging, AWS, metrics, AI-assisted engineering practices, automated anomaly detection, error budgets, reliability engineering, SRE, measurable service health objectives, distributed tracing, Capacity Planning, alerting, service-level objectives, observability, operational controls, automation capabilities, runbooks, service-level indicators