S3, Lambda, Docker, Sqs, Sns, Python, Kubernetes, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures

Kubernetes, S3, Lambda, AWS, FastAPI, Python, Terraform, Docker, Apis, EKS, LLMs integration, Pydantic, Vector Databases, AI Technologies, prompt context engineering, observability and monitoring platforms, LangGraph, AI Agent frameworks

S3, Lambda, Docker, Sqs, Sns, Kubernetes, Python, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures

snowflake , Docker, Openshift, FastAPI, Python, Sql, Kubernetes, LangChain, LangGraph, Vector databases

Rest Apis, Microservices, MLops, Kubernetes, Python, Docker, LlamaIndex, Responsible AI practices, ChromaDB, fine-tuning, Semantic Kernel, RAG implementations, vector databases, embeddings, Weaviate, AutoGen, LangChain, Azure AI Search, model evaluation, CrewAI, Pinecone, FAISS, prompt engineering, LangGraph

Apis, Agile Methodologies, Jira, Confluence, MLops, Release planning, Scrum, Azure DevOps, Safe, Model evaluation metrics, Linear, CI CD, Data pipelines, Cloud deployments, Kanban, Backlog prioritization

Machine Learning, Cursor, Deep Learning, Tensorflow, Gcp, Pytorch, Docker, Azure, Python, Kubernetes, AWS, embeddings, vector search, PEFT, Generative AI, scikit-learn, LLMs, Claude Code, Agentic AI, LoRA, QLoRA, RAG architectures

Docker, Monitoring Tools, Azure, Kubernetes, Google Cloud, AWS, Machine Learning Operations, model deployment strategies, compliance and security standards in AI operations