.NET, C#, Machine Learning, Google Cloud Platform, Nodejs, Deep Learning, React, Docker, Microsoft Azure, Flutter, Python, Azure DevOps, LLMs, REST API design, Applied Agentic AI, RAG, Backend APIs, CI/CD, MCP, Prompt Engineering

Json, system integration, Python Programming, FastAPI, Rest Apis, embeddings, vector search, open-source LLMs, prompt engineering, LLM APIs, RAG, function tool calling, structured output, LLM evaluation

Java, Hadoop, Node.js, Google Cloud, Sql, Nosql, React, Git, Docker, Spark, Azure, Python, Kubernetes, AWS, LangChain, LLMs, ADK, LangGraph, NeXT

Retrieval-Augmented Generation (RAG), Sql, Typescript, Javascript, Docker, Openshift, Python, Kubernetes, GenAI technologies, agentic AI concepts, LLM integration, Responsible AI practices, CI/CD

Dashboarding, LLMOps practices, GenAI patterns, AI Strategy Roadmap, RAG agentic workflows, AI Governance Framework, AI-related legal and regulatory requirements, multimodal AI, data-driven KPI design, AI governance playbook

model selection , Enterprise Applications, Cloud Services, Databases, Data Pipeline, Api, Generative AI, AI Agents, LLMs, Generative AI Application Development and Deployment, Deployment, Design, Collaboration With Stakeholders, AI Evaluation, Azure AI Search, Developing Frameworks

Large language models (LLMs), System Configuration, Application Deployment, Data Migration, Integration, Database Management, Business Process Automation, Software Development Methodologies, Debugging, Api Integration, Enterprise Application Integration, Python, System Testing, Data Processing, AI technologies, ERP systems, Machine learning concepts, Microsoft Dynamics 365 Business Central