Python, GenAI, embeddings, vector search, multi-step reasoning, Azure OpenAI, prompt engineering, Evaluation, structured-vs-unstructured retrieval design, RAG, planning tool use, NLU, agentic patterns, LLM orchestration, intent classification

Machine Learning, Deep Learning, Tensorflow, Nlp, Pytorch, Cloud, MLops, Python, LangChain, AI Architecture, Generative AI, LLM Fine-Tuning, Core AI, Llm, Vector Databases, AI Model Deployment, Transformers, RAG

Django, Gcp, PostgreSQL, FastAPI, Azure, Python, Redis, AWS, Async Python, event-driven architectures, LLM-based applications

Azure ML, Tensorflow, MLops, AWS, Pytorch, Python, Azure, Gcp, Git, LLMs, Vertex AI, Claude, scikit-learn, Gemini, SageMaker, transformer-based frameworks, LLaMA, Qwen, DeepSeek, OpenAI GPT-4, Mistral

AWS, Node.js, Python, Azure, Gcp, LlamaIndex, API integrations, Weaviate, LangChain, Pinecone, Hugging Face, FAISS

Python, MLops, LlamaIndex, LangChain, prompt engineering, modern AI frameworks, AI services, vector databases, embeddings

AWS, Image Processing, Devops, Mern Stack, Python, Azure, Terraform, Git, Nlp, Lang chain, OpenAI models, Hugging Face LLMs, Llama index