production deployment , Amazon Web Services, Apis, Backend Engineering, Google Cloud, Python, LangChain, vector databases, prompt engineering, retrieval systems, Agentic AI systems, model evaluation, LLM orchestration frameworks, RAG pipelines, LlamaIndex

Git, Docker, Kubernetes, Python, LangChain, embedding pipelines, Hugging Face, Vector DBs, Anthropic, LangGraph, Llama, transformer libraries, RAG pipelines, OpenAI

Tensorflow, Azure ML, Pytorch, Python, embeddings, LLMs, scikit-learn, prompt engineering, SageMaker, vector stores, GCP Vertex AI, RAG, Cloud ML infrastructure

Data Services, Typescript, Postgres, FastAPI, Python, Claude, Next.js 16, React 19, computer-vision, LLM APIs, Supabase, Gemini

bedrock , Kafka, Sql, Tensorflow, Git, Celery, Docker, Pytorch, FastAPI, Python, LangChain, Thread pools, SSE, Guardrails, LangGraph, SageMaker, RAG

Sql, Python, Langchain, LLM internals, agent workflows, vector databases, embeddings, prompt tuning

Nodejs, Rest Apis, Python, embeddings, Qdrant, Claude, Pinecone, Weaviate, DeepSeek, OpenAI, Gemini, semantic search

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

Keras, Pytorch, Python, Tensorflow, Model Evaluation, Data Preprocessing, Feature Engineering, reinforcement learning

Natural Language Processing, Python, Azure Machine Learning, Machine Learning, Azure DevOps, MLops, Generative AI, Microsoft 365 Copilot, Azure AI, Cognitive Services, LLMOps, Azure OpenAI