Websocket, FastAPI, Azure, Python, CrewAI, LangChain, multi-agent frameworks, streaming APIs, Qdrant, SSE, RAG implementation, Hugging Face, sentence-transformers, embedding models, LangGraph, vector stores, FAISS, LoRA, Milvus, OpenAI, ChromaDB, QLoRA

Tensorflow, Pytorch, Gcp, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, LangChain, RAG frameworks, Hugging Face, Scikit-learn, vector databases, Pinecone, LangGraph, Chroma, microservices architecture, FAISS, Weaviate, LlamaIndex, Large Language Models

snowflake , Amazon Web Services, Microservices, MLops, Docker, Terraform, Openshift, Microsoft Azure, FastAPI, Data Integration, Rest Apis, Kubernetes, Python, SQL APIs, Generative AI, DevOps practices, vector databases, production AI platforms, CI CD pipelines, AI observability, Large Language Models, Retrieval-Augmented Generation APIs

MLops, Python, AI engineering, cloud-based deployments, vector databases

Python, multimodal models, hallucination mitigation techniques, LLMs, OpenAI, LlamaIndex, fine-tuning workflows, fine-tuning techniques, PEFT, Haystack, LoRA, LangChain, CI CD pipelines, Mistral, Generative AI models, instruction tuning, RAG pipelines, MLOps tools, guardrails, data pipelines, LLaMA, Anthropic, safety mechanisms, model monitoring, prompt engineering

API design, Unit Testing, Seaborn, Pandas, Numpy, Agile Methodology, Matplotlib, Distributed Systems, Python, Generative AI, OpenAI, ML concepts, LangChain, CrewAI, test-driven development, LangGraph, Claude Code, Plotly, Claude, multi-agent system design, Google Gemini, OpenAI Codex, AutoGen, Anthropic, Agentic AI, MCP integrations, prompt engineering, GitHub Copilot

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

Machine Learning, Deep Learning, Python, Tensorflow, Data Analysis, Model Deployment