AI Research & Development

Exploring practical applications of GenAI across enterprise, finance, and everyday productivity

35+ years of technology experience meets hands-on AI experimentation. Building proof of concepts, sharing insights from enterprise AI adoption, and exploring what's possible when AI meets real-world problems.

Research Areas

Exploring AI applications across multiple domains

🏢

Enterprise AI

Large-scale adoption and architecture

  • Healthcare GenAI use cases
  • Lessons from AI transformation
  • Regulatory compliance patterns
  • Enterprise architecture strategies
📈

Financial AI

Trading, derivatives, and portfolio analytics

  • AI-enabled options strategies
  • Market analysis algorithms
  • Risk management frameworks
  • Quantitative trading insights

Practical AI

Productivity, automation, and innovation

  • AI productivity experiments
  • Personal AI assistants & agents
  • Workflow automation patterns
  • Building AI-first systems
✝️

Faith & Technology

Ethics, purpose, and responsible AI

  • Christian perspectives on AI
  • Scripture + AI explorations
  • Ethics in AI development
  • Technology with purpose

About Paul Lopez

I've built technology systems for 35 years across healthcare, finance, and enterprise platforms. Today, as a Principal Architect in Optum AI Solutions & Delivery, I help commercialize UHG's advanced AI capabilities—translating proven internal innovations into scalable, client-ready solutions for provider health systems, payers, life sciences, pharmacy, and academic medical institutions.

I’m driven by one goal: combine technology with humanity—using AI to reduce complexity, streamline work, and empower people to make faster, more informed decisions.

This site is my research lab—a place to document experiments, share lessons from enterprise AI adoption, and explore practical GenAI applications, all through the lens of what happens when deep technical expertise meets real-world problems.

# Currently exploring: Agentic AI architectures, Derivatives trading, and faith-based AI applications