Testing, Git, Docker, Kubernetes, LangChain, development frameworks and tools, Crew.ai, vector databases, embedding models, knowledge retrieval systems, prompt engineering, Autogen, Advanced Python programming, LLM optimization techniques, async programming, RAG pipelines

Java, Keras, Natural Language Processing, Tensorflow, Devops, Data Management, Automation Tools, Machine Learning, AWS, Api Integration, Pytorch, Python, Kubernetes, Azure, Docker, Gcp, Jenkins, Git, data privacy security protocols, AI technologies, data pipeline development, R, ETL processes

Python, Agentic AI systems, RAG Retrieval-Augmented Generation, ML DL model development, LLM integration, HTTP REST APIs, LLM-based applications, prompt engineering

Github, Aws Services, Oauth2, Saml, Redis, React, Azure Active Directory, Typescript, Docker, FastAPI, MongoDB, Python, Azure DevOps, Langchain, AI Agents, Pydantic v2, Azure Open API, Langgraph, JWT Tokens, Secrets Management

Azure Functions, Azure, Python, Azure AI Services, Cognitive Search

Github, Artificial Intelligence, Apache Spark, Python, GitHub Actions, AI workflows, LLMs, Claude Code, Microsoft Copilot, Microsoft Fabric, prompt engineering

software design patterns , Data Security, Neural Networks, Python, embeddings, production agentic AI systems, experiment tracking, Transformers, governance controls, LLMOps, retrieval quality tuning, vector databases, multi-agent orchestration frameworks, architecture for complex distributed systems, RAG engineering, LLM behavior, deep learning foundations, release governance, evaluation frameworks, model monitoring, MCP server-client integrations