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

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Enterprise AI

Large-scale adoption and architecture

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

Portfolio analytics, trading, and derivatives

  • 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
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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, Claude Code for Healthcare, and faith-based AI applications