Tensorflow, Numpy, Jenkins, Pandas, Gcp, Pytorch, Gitlab, Azure, Python, AWS, Azure DevOps, LangChain, Hugging Face, MLflow, OpenAI APIs, Kubeflow, Transformers

Python, LangChain, AI Agents, Vector databases, AI memory frameworks, LangFlow, Generative AI architectures, Agentic AI systems, LangGraph, semantic search, Embedding models, Tool calling frameworks, MCP Server implementation, Function calling, RAG pipelines, Memory sharing architectures, Multi-agent orchestration

Apis, Docker, Cloud Services, Rest Apis, Python, LangChain, Hugging Face, LlamaIndex

Java, Node.js, Azure ML, Gcp, Azure, Python, AWS, LangChain, LLMs, Hugging Face Transformers, MLflow, vector databases, embedding models, Vertex AI, Kubeflow, Transformers, Diffusion models, RAG pipelines

Asynchronous programming, Gcp, Docker, Flask, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Prompt engineering, AI infrastructure and deployment, Vector databases, Ollama, LLM orchestration frameworks, OpenAI APIs, LlamaIndex

Gcp, Databricks, Azure, Python, AWS, embeddings, LLaMA, LLMs, Crew.ai, Claude, model orchestration, prompt engineering, AutoGen, LangGraph, Mistral, OpenAI, Gemini, LlamaIndex, synthetic datasets, agentic frameworks

Azure ML, Git, Pytorch, Gcp, Flask, FastAPI, Azure, Python, AWS, LangChain, Weights Biases, Generative AI, LLMs, Hugging Face Transformers, MLflow, Transformers, SageMaker pipelines, CI CD for ML

Gcp, Containers, Azure, Python, AWS, LangChain, embeddings, LLMs, Hugging Face, LLM GenAI delivery, cloud platforms, vector databases, Pinecone, Anthropic, Claude, CI CD, Monitoring, LangGraph, FAISS, RAG, ChromaDB, semantic search