Python Programming, Microsoft Azure cloud platform, Agile-based principles and tools

process mining , Ibm Watson, Cloud, MLops, multi-agent orchestration, Claude, Business Process Mapping, Responsible AI frameworks, LLM architecture, Azure AI Copilot, IT enterprise architecture concepts, GenAI architecture, Google Vertex AI, observability, API-first, data supply chain, AI architecture, prompt engineering, agentic workflows, RAG, MCP, cloud AI platforms, AI governance, Gemini, Amazon Bedrock

cloud security, Data Protection, Javascript, Application Security, Iam, Grc, Python, ZTNA, SASE, SSE, Go, Zero Trust principles, AI security, Security Operations

MLops, compliance alignment, agent workflow orchestration, evaluation dataset design, defining guardrails standards, LLMOps, AI GenAI architecture patterns, corpus preparation, prompt lifecycle management, CI CD, Security-by-design, network boundaries, monitoring approach, embedding design, retrieval strategy, Data strategy architecture, Governance guardrails, model registry, deployment strategy, Access Control, solution reference architectures

Tensorflow, Pytorch, MLops, Python, Machine Learning Algorithms, LangChain, model governance, Generative AI, HuggingFace, vector databases, prompt engineering, AI Agent frameworks, RAG pipelines

snowflake , Ml, Application Architecture, Gcp, MLops, automation solutions, Databricks, Azure, AWS, orchestration frameworks, GenAI, agentic AI, LLMOps, Google Gemini, vector databases, Anthropic, cloud data integration, responsible AI governance, Security, AI data analytics, Mistral, OpenAI

Python, LLMs, FAISS, vector databases, Milvus, Pinecone, Weaviate, RAG architectures