Content Filtering, identity secrets, generative-AI, AI applications, LLM application security architecture, agentic workload, network isolation

BigQuery, Apis, Microservices, Gcp, System Design, Databricks, Python, Code, RAG systems, model versioning, Privacy, MLflow, Monitoring, LLM integration patterns, Security, MLOps practices, scalable backend systems, governance considerations, AI-assisted development tools, Vertex AI, Kubeflow, AI-driven UX design, Governance, Generative AI applications, cloud platforms, Copilot, Claude

.NET Framework, process mining , Power Automate, Java, Agile Methodologies, Cloud Technologies, Deployment Management, Uipath, VB.NET, Databases, SQL Server, SAP, Machine Learning, Web Applications, Oracle, Python, Apis, Microsoft Power Platform, Intelligent Document Processing, validation processes, Ai, Source Control, DevOps practices, ERP platforms, Jde, testing strategies, REFramework, system integrations, process discovery, workflow orchestration, Generative AI

MLops, Enterprise Architecture, Azure DevOps, RAG systems, LLMs, GitHub Actions, AI observability frameworks, Langfuse, Agentic AI systems, Agent memory systems, Multi-agent orchestration frameworks, LLMOps, Opik, Weights Biases, Data Platforms, Azure AI Studio