Google Cloud Platform, Memory Management, MCP A2A patterns, embeddings, data pipelines, tool function calling, LLMs, RAG patterns, generative AI, orchestrators, vector databases, prompt engineering, LangGraph, prompt guardrail engineering, agentic AI architectures, enterprise agent platforms, AI quality metrics, Google ADK, agentic frameworks

Cnn, Gcp, MLops, Azure, AWS, LangChain, LSTM, DeepEval, generative AI, AI evaluation frameworks, Qdrant, RAGAS, vector databases, AI model productionization, deep learning methods, FAISS, Hugging Face transformers, large language models, cloud AI platforms, VAE, LlamaIndex

Tensorflow, Nlp, Pytorch, MLops, Python, Machine Learning Algorithms, LangChain, Generative AI, auto-documentation, model governance, CI CD for ML workflows, LLMs, HuggingFace, AI agent development, vector databases, predictive insights, prompt engineering, hybrid multi-cloud architectures, Q A systems, oci, RAG pipelines, building scaling and optimizing AI systems, fine-tuning LLMs

Oauth2, Jwt, Tensorflow, Gcp, Pytorch, MLops, Docker, FastAPI, Azure, Kubernetes, Python, AWS, cloud platforms, vector databases, CI CD, AI ML service integration, LLM orchestration, Java Spring Boot

.NET, Generative AI / LLMs, LangGraph / Agent Orchestration, Distributed Systems, Software Architecture, System Design, Microservices, Java, Node, AI Agents, Agentic AI, MCP, Event-Driven Architecture, Legacy Application Modernization

Java, Pdlc, Cursor, Sdlc, GitHub Copilot, Prompt engineering, Codex, Claude Code