.NET, Power Automate, PowerShell, Power Platform, C Sharp, Azure Functions, Generative AI, Power Apps, Azure OpenAI Service, Logic Apps, Microsoft Graph, Dataverse, GitHub Copilot, Sharepoint, Teams, Azure AI, Azure Cognitive Services, Microsoft Copilot Studio

Jenkins, Gcp, Azure, Python, AWS, Azure DevOps, LangChain, LLMs, cloud platforms, vector databases, Pinecone, REST API design, LangGraph, GitLab CI, GitHub Actions, RAG techniques, microservices architecture, CI CD tools, Generative AI libraries, Weaviate, dataset preparation

Azure Cloud, Generative AI, LLMs, AI Agents, containerized deployments, vector databases, MCP Agent-to-Agent communication, AI Search APIs, prompt engineering, Security, RAG, hallucination mitigation, Azure AI, AI architecture evaluation, AI observability, Governance, AI orchestration

Retrieval-Augmented Generation (RAG), Servicenow, Javascript, Python, Power Automate, Workday, Azure, AI-powered automation solutions, Microsoft Power Platform, data ingestion, API integrations, Document Processing, intelligent agents, LLMs, Power Apps, DevOps practices, conversational interfaces, copilots, CI CD processes, enterprise connectors, enterprise AI platforms, Sharepoint, chatbot development, file processing, transformation workflows

Digital Transformation, Tableau, ELT, Agile, Scrum, Ml, Apis, Power Bi, Sql, Devops, Etl, AI Agents, AI Governance, CI CD, Vector Databases, Cloud Platforms, semantic search, LangChain, Generative AI, LLMs, End-to-End Project Delivery, Ai, AI Automation, Copilot, Data, Anthropic, RAG, Conversational AI, Microsoft Agent Framework, OpenAI, Responsible AI, Prompt Engineering

Api, Python, LangGraph, Langchain, Agentic AI, LLMs

Python Programming, Agent Frameworks, Claude, Pinecone, LangChain Agents, Azure OpenAI, Agentic AI solutions, LangGraph, RAG Retrieval-Augmented Generation, Vector Databases, LLM-based applications, ChromaDB, Microservices development, CrewAI, Generative AI, Azure AI Search API, Semantic Kernel, AutoGen, MCP Model Context Protocol, FAISS, Llama, OpenAI, Gemini, Weaviate

knowledge graphs (neo4j preferred), Python, AWS Bedrock, prompt-library version-management, prompt engineering, vector stores, LLM GenAI applications, multi-agent systems, Caching, prompt compression, LLM guardrails, model routing

Machine Learning, Data Analytics, Deep Learning, Python, LLM-based workflows

Pyspark, Apache Spark, Data Warehousing, Kafka, Dimensional Modeling, Sql, ELT, Apache Airflow, Git, Gcp, Terraform, Docker, Databricks, Azure, Python, Kubernetes, AWS, Etl, Apache Iceberg, Generative AI, Delta Lake, Apache Hudi, Large Language Models