Behind the intelligence
Research Team
MasterNodeAI is built by analysts and editors with hands-on backgrounds in AI infrastructure, cloud architecture, and enterprise technology operations. Every article is research-first — written by people who have operated in the systems they cover.
Marcus Reid
Senior Editor — AI Infrastructure
Marcus Reid covers the AI compute stack with a focus on infrastructure economics, GPU market dynamics, and decentralised compute networks. Before joining MasterNodeAI, Marcus spent six years working on cloud architecture and cost optimisation for mid-market technology companies, giving him a grounded perspective on what infrastructure decisions actually cost in practice. His writing focuses on translating complex technical trade-offs into decisions business operators can act on — from GPU provider comparisons to DePIN investment viability. He holds a background in systems engineering and has tracked the AI infrastructure market since the first wave of GPU shortages in 2023.
Jordan Vasquez
Research Lead — AI Systems & Automation
Jordan Vasquez leads MasterNodeAI's coverage of AI systems design, enterprise automation, and business implementation patterns. With a background in operations management and applied AI deployment, Jordan focuses on the gap between what AI can technically do and what actually creates measurable ROI when deployed at business scale. His analysis covers RAG architectures, agentic systems, AI workforce tools, and the economics of replacing manual processes with AI-driven systems. Jordan has consulted with logistics, staffing, and professional services operators on production AI deployments, making his analysis directly applicable to business decision-makers evaluating automation opportunities.
Editorial Standards
MasterNodeAI articles are researched using primary data sources, public API disclosures, and live pricing data from our intelligence database. All claims are sourced. Articles are updated when material facts change. We do not accept sponsored content or allow advertisers to influence editorial. Our intelligence database tracks 978+ AI entities and updates daily via automated ingestion pipelines — giving our editors access to signal data that generic AI content platforms do not have.