Git, Docker, Rest Apis, Kubernetes, Python, Microservices, Sql, vector databases

software engineering practices , Apis, MLops, Microservices, Python, DataOps, LLMOps, architecture patterns, AI architectures, prompt engineering, cloud-native development

Debugging, MongoDB, OpenAI API, LangChain, GenAI LLM, NLP utilities, Python 3.x, LLM orchestration, PGVector, Observability

Python, LangChain, LangGraph, Agentic AI, LLM deployment, AI Agents MCP Servers tool calling, RAG, deploying and integrating LLM-based applications, Langflow, memory sharing

Devops, Gcp, Agile, Azure, AWS, implementation management, technical account management, connectors, playbooks, cloud platforms, Process Documentation, software development life cycles, technical configuration, Continuous Improvement, Troubleshooting, technical deployment

Java, Microservices, Gcp, Docker, Rest Apis, Kubernetes, Python, AWS, LLMs, embedding-based search, transformer models, semantic retrieval, prompt engineering

Git, Testing, LangChain, Knowledge retrieval systems, Prompt engineering, RAG systems, Vector databases, Development frameworks and tools, Advanced Python programming, LLM optimization techniques, Embedding models, RAG pipelines

Django, Docker, Kubernetes, Python development