Building AI/Web3 convergence initiative from concept through fundraising phase (expected close Q3-Q4 2026). Leading all aspects: market positioning, product strategy, business development, and partnership building. Entrepreneurial Leadership: Leading $31.6M fundraising effort—pitching to investors, building strategic relationships Defining market positioning and go-to-market strategy for AI/Web3 convergence Building product-market fit through stakeholder testing and rapid iteration Managing runway, resource allocation, and investment priorities with P&L mindset Developing strategic partnerships with technology vendors and academic institutions R&D Focus (2021-2024): Deep dive into reinforcement learning and multi-agent AI systems Hands-on prototyping and experimentation with agentic AI architectures Exploring AI/Web3 technical integration and convergence opportunities

Led AI and data strategy for $35B conglomerate with 20,000 employees across 12 industries. Reported to Group CTO. Built comprehensive framework demonstrating $68M in enterprise value. Strategic Program Leadership: $68M Data Monetization Program: Architected program demonstrating measurable ROI from AI/data investments across business units 11-Program Strategic Framework: Designed comprehensive Data & AI framework spanning governance, infrastructure, analytics, and innovation Cross-Industry Strategy: Developed AI applications across diverse verticals (finance, hospitality, real estate, healthcare) Vendor Partnerships: Negotiated strategic relationships with AI technology providers Budget Management: Owned program budget, resource allocation, and financial reporting to board Cross-Functional Leadership: Served as trusted advisor to C-suite leaders across 12 business units Translated technical AI capabilities into business outcomes and financial impact Built consensus across stakeholders with competing priorities and diverse needs Managed vendor relationships and technology procurement at enterprise scale