Tensorflow, Nlp, Pytorch, Python, CrewAI, LangChain, deep learning frameworks, vector databases, AI services on AWS, Pinecone, prompt engineering, Autogen, embedding techniques, Chroma, Milvus, fine-tuning LLMs, RAG architectures

Virtualization and Container Platforms, Architectural Frameworks Methodologies, Observability and Monitoring, Enterprise Architecture Management EAM, Backup Recovery and Business Continuity, Workplace and End User Services, Infrastructure Automation, Enterprise Networks and Connectivity, Data Center Technologies, Server Compute and Storage Platforms, Cloud Platforms and Services, Platform Engineering

Enterprise Architecture, Togaf, Stakeholder Management, Technology Transformation, Program Leadership

containerization , Ml, Agile, Microservices, Devops, Togaf, Cloud Computing, Apis, Enterprise Architecture frameworks, EA repositories, Data-driven systems, Ai, Gartner EA, interoperability, DevOps toolchains, ITSM tools, zachman, Technology Reusability, Cloud-native architectures, Data Privacy Security, Business Continuity

containerization , Tensorflow, Pytorch, Docker, MLops, Python Programming, Rest Apis, Kubernetes, Prompt engineering, RAG pipeline design, vector databases, Productionizing GenAI applications, Azure OpenAI, LangGraph, Productionization, Enterprise AI GenAI Architecture, Governance Responsible AI, Azure AI ecosystem, monitoring systems, Agentic AI RAG Implementation, CrewAI, LLM optimization, Agentic AI frameworks, Scikit-learn, Semantic Kernel, AutoGen, microservices architecture, ML frameworks, AIOps principles