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

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