Mario Noioso

MongoDB, Atlas Search, Vector Search, Node.js, TypeScript, Python, Kubernetes, cloud architectures (AWS), data modeling, distributed systems, AI search, RAG, system design.

Agentic AI architectures, RAG pipelines, vector search optimization, hybrid search (full-text + semantic), LLM orchestration in Node.js, MongoDB Atlas Search, real-world GenAI system design.

Real-world AI knowledge agents, semantic search on large document corpora, hybrid search systems, GenAI platforms built on MongoDB Atlas, and production-grade data architectures.

Discussions and collaborations on data architecture, AI systems, GenAI adoption, MongoDB at scale, public sector platforms, search and retrieval systems, and pragmatic cloud modernization.