Cruz Macias

Focused on advancing secure and responsible Generative AI through retrieval-augmented generation (RAG), multi-agent orchestration, and privacy-first prompting protocols (RPP). Strong interest in building MCP servers and tools, as well as middleware integrations for Generative AI APIs to unify diverse model backends. Exploring the design of SLM (Small Language Model) agent clusters for scalable, cost-effective inference and grounded tool use. Passionate about contributing to the Hugging Face ecosystem through model hosting, evaluation benchmarks, dataset pipelines, and secure deployment practices. Dedicated to bridging AI engineering and security, including identity-preserving prompt protocols (RPP), with emphasis on adversarial robustness, confidential computing, and compliance-aware deployments across regulated domains.