Nosql, Devops, RDBMS, MLops, Gcp, Api, Puppet, Azure, AWS, Generative AI, Langchain, Chef, Llm, Agentic AI, Cloud Development, Langgraph, AWS SageMaker, RAG, MLFlow, Amazon Bedrock

Microservices, Docker, Python, AWS, Apis, Node.js, Gcp, Distributed Systems, Azure, Kubernetes, Prompt engineering, Event-driven systems, Go, Embeddings, Function calling, Tool calling, LLM evaluation, Generative AI, LLMs, Vector databases, Applied AI, Agent frameworks, Asynchronous execution, RAG

Redis, Distributed Systems, Kubernetes, Python, retrieval quality tuning, re-ranking, Go, vector databases, Messaging, agent coordination, failure handling, LLM orchestration frameworks, queues, Production RAG experience, task decomposition

prompt engineering, agent orchestration, tool calling, Deployment, context management

Apache Spark, Kubernetes, LangChain, MLflow, Ray, vLLM, Iceberg, Vector Databases, MLOps frameworks, LLM orchestration, full-stack ML applications, LlamaIndex, AI frameworks

MLops, Python, AI lifecycle management, Agentic AI systems, Knowledge graph and vector database technologies, Generative AI technologies, API microservices, LLM orchestration frameworks, event-driven architectures, AI governance, observability and evaluation frameworks

API design, Distributed Systems, Python, LangChain, CrewAI, LLM-based systems, multi-agent systems, Airflow, pgvector, vector databases, Pinecone, Semantic Kernel, LangGraph, AutoGen, async patterns, Temporal, Weaviate

Machine Learning, Jira, Jenkins, Git, Confluence, Rest Apis, Python, LangChain, AWS Bedrock, LLMs, Codex, event-driven systems, Claude Code, Ai, Azure AI Foundry, LangGraph, WebSockets, Google Gemini Enterprise

ROS, data-quality instincts, SLAM, RAG at scale, HITL systems, inference optimization, multi-agent architectures, large-scale pipeline experience, LLM orchestration, LLM agentic systems

Git, Typescript, Automated Testing, Python, API microservices, LLM-powered applications, prompt and context engineering, cloud platforms, event-driven architecture, CI CD, observability