Orchestration, Django, React, Gcp, FastAPI, Azure, Python, multi-step reasoning, tool function calling, Vector databases, Svelte, Agentic AI, LLM APIs, RAG pipelines

Tensorflow, Pytorch, Microsoft Azure, Python, Sql, LangChain, OpenAI API, Anthropic Claude, Hugging Face, Azure OpenAI

Aws Lambda, Flask, FastAPI, Serverless Architecture, LangChain, Vector Databases, Claude APIs, RAG Architecture, Amazon Bedrock, LlamaIndex, Prompt Engineering, Generative AI LLM Integration

testing), Kubernetes), Modern software development practices (Git, Natural Language Processing (NLP) techniques, Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs) and their APIs, Container technologies (Docker, Prompt engineering and LLM optimization techniques, CI/CD, Vector databases and embedding models, Development frameworks and tools, Semantic search and information retrieval concepts, Agent alignment and safety considerations

React, Typescript, Python, RAG systems, Tool-calling workflows, AI agents, AI LLM technologies

.Net Core, SQL Server, AI ML, Microservices, Git, Agile, Scrum, Rest Apis, Python, Generative AI, LLMs, MCP AI Agent Development, CI CD, Azure OpenAI, Azure AI Services, Vector Databases, ASP.NET Core, RAG

Java, Springboot, Data Mining, Azure, Llm

Cloud Foundry, Git, React, Azure Cosmos DB, Azure Cloud, Docker, FastAPI, Python, Full Stack Development, Azure DevOps, AWS, Generative AI, Azure API Management, Azure PostgreSQL, Claude, Azure OpenAI, Semantic Kernel, langchain, GitHub Copilot, GitHub Actions, Ethical AI practices, Observability tools, AI governance

Sql, Gcp, MLops, FastAPI, Azure, Python, AWS, embeddings, vector search, Generative AI, Langchain, NoSQL databases, vector databases, prompt engineering, LangGraph, LLM APIs, RAG