Retrieval-Augmented Generation (RAG) systems, Cloud Infrastructure, Python, generative AI applications, data pipelines, AI ML architecture, data sovereignty, LLM-powered solutions, LLM governance, data lakes, AI security, data solutions, enterprise data warehouses, data privacy regulations, intelligent agents

Open Policy Agent (OPA), Infrastructure as Code (IaC), Cloud Security, Gcp, Terraform, Azure, AWS, Generative AI, Anthropic, Vector Databases, Agentic AI, LLM APIs, RAG, Rego, Regula, OpenAI

AI Platform Infrastructure Engineering, MLOps LLMOps, Data Engineering Operationalization, Programming APIs, Automation Deployment Engineering, Security Governance

workflow engines , telemetry , Devops, Gcp, Terraform, Distributed Systems, Cloud Infrastructure, Release Engineering, Azure, Python, AWS, SRE principles, error budgets, automated rollback, deployment strategies, Infrastructure as Code, stateful systems, control planes, CI CD, orchestration platforms, promotion gates, SLOs, observability

Apis, Microservices, Rest Apis, Python, LLM and agent evaluation frameworks, model governance, LLMs, multi-agent orchestration, agent memory design, enterprise data concepts, tool-calling capabilities, agent development frameworks, GenAI applications, observability and tracing, guardrails for AI agents, RAG architecture

C#, PostgreSQL, React, Typescript, Terraform, MySQL, Cosmos DB, Python, AWS, Apis, SQL Server, Dynamodb, Node.js, Pulumi, Azure, Infrastructure as Code, Microsoft Azure technologies, OpenAI Agents SDK, Next.js, Bicep, Large Language Models, LangChain, Generative AI, cloud-native applications, CI/CD, AI-enabled solutions