Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Api Integration, Technical Consulting, AI Solution Architecture, AI Security, AI Agent Architectures, AI Engineering, Model Evaluation, Prompt Engineering

Apis, Data Protection, MLops, Azure Machine Learning, LLMOps, Azure OpenAI, Azure AI Foundry, enterprise integration patterns, Zero Trust, content safety, event-driven architecture, Azure AI Search, Microsoft Fabric, AI security

MLops, Azure Machine Learning, vector search, agentic architecture, LLMOps, generative AI, design governance, Azure OpenAI, Azure AI Foundry, architecture assurance, RAG, Azure AI Search, Microsoft Fabric, AI security

containerization , bedrock , Microservices, Graphql, REST, Virtual Machines, Airflow, data pipelines, cloud-based AI services, MLflow, model orchestration, Retrieval-Augmented Generation, GRPC, LangGraph, GraphRAG, AI platform integration, Kubeflow, MLOps tools, API-driven systems, cloud-native architectures, API ecosystems, end-to-end AI workflows, LangChain, AI Foundry, Microsoft Azure ML, AWS SageMaker, CI CD pipelines, RAG, serving APIs

Python, Data Governance, AI agent engineering, RAG architecture, BI Analytics, data infrastructure, Agent workflow orchestration, Multimodal data processing pipelines, Multimodal AI systems, Enterprise AI agent applications, Vector database selection, Large model technologies, Retrieval optimization