Senior AI and network technology strategist who has deployed groundbreaking software architectures in multinational mobile networks (Vodafone, AT&T, Verizon, etc.), creating billion-dollar markets in the process.• Currently working as a senior AI technology advisor in the Red Hat Telecommunications business unit, assisting clients with AI, IoT and data center projects. Advisory duties include technical strategy and multinational architecture design and implementation. • Former Chief Architect and AI/ML strategy lead in the CTO organization at Red Hat. Started Red Hat's AI Networks initiative in 2017, to use AI and machine learning in mobile network infrastructure. Founded the Red Hat Unicorn Program for AI startups. • Founder and chair of the Enterprise Neurosystem AI/ML open source community. The underlying development objective is a single global AI infrastructure, unifying all relevant satellite, database and ground sensor projects, and nature based sensors (beehives, mycorrhizal networks, mussel farms, etc.). The focus is the creation of a large scale AI infrastructure framework to cross-correlate every element of climate change data in real time. Frequently speaker at United Nations / UNFCCC AI events (COP 28, Africa Climate Week, Asia-Pacific Climate Week) and worked with the USDA and U.A.E. in support of the AIM For Climate initiative. Founding members include senior technologists and academics from Red Hat, IBM Research, Intel, Stanford SLAC, Harvard Analytics, Meta, Reliance Jio, Verizon, Kove, Seagate, Yahoo! and others.• While at VMware, composed the initial corporate strategy for the virtualization and cloud transformation of new verticals. As part of this effort, the mobile network sector was targeted, and initiated a multi-year R&D effort in concert with technology partners and Tier 1 operators. This led to the NFV (Network Functions Virtualization) technology revolution, started their Telco business unit, and delivered billions of dollars in revenue to VMware and their partners.• Guest speaker at United Nations AI events, Stanford University Engineering (Innovation and Open Source frameworks), and UC Berkeley’s Data-X program (Applied Data Science with Venture Applications). Delivered presentations at MLconf, the AI Hardware Summit, NVIDIA GTC, Memcon and Red Hat Next! on AI/ML technology futures. Board member of Fiducia AI.