Network Infrastructures, Optimizing network performance and reliability, Evaluating emerging technologies and integrating them into existing infrastructure, Enterprise-wide architecture frameworks and methodologies, Designing and implementing scalable and secure network solutions

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

Java, Data Protection, Identity And Access Management, Encryption, Python, cloud-native distributed systems, data governance standards, system design principles, container orchestration technologies, Go, continuous integration pipelines, IT security practices

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