AI-Focused Software Engineer with Natural Problem Solving

AI-Focused Software Engineer

Building reliable systems that consistently exceed expectations

Ruby on Rails Expert • AI Tooling Specialist • Rapid Development
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Core Philosophy

Building Accessible Intelligence

Empathy-driven engineering for underserved communities

I build technology guided by a simple principle: empathy should drive technical decisions. After 10+ years mastering Rails, enterprise systems, and AI integration, I founded can.code Research Labs to create accessible intelligence for underserved communities.

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Technology: Accessibility-First Architecture

Universal design isn't a feature—it's a foundation. I embed accessibility requirements into core technical decisions, ensuring diverse users can benefit from AI advances.

  • WCAG 2.1 AA/AAA compliance from day one
  • Multi-modal interfaces for different interaction preferences
  • Screen reader optimization and keyboard navigation
  • Performance optimization for assistive technologies
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Organization: Service-First Development

Research methodology prioritizes user thriving over feature extraction. Transparent limitation documentation builds trust—I document what doesn't work as rigorously as what does.

  • Honest capability assessment over marketing claims
  • Community-centered development practices
  • Recognition-based systems honoring individual differences
  • Open collaboration with marginalized voices in leadership
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Mission: Personal Reality Into Shared Meaning

Technology should bridge communication gaps, not enforce conformity. I create systems that translate diverse communication styles while preserving authentic voice.

  • Success measured by user confidence and joy, not efficiency
  • Assistive technology serving neurodivergent communities
  • Human flourishing over productivity optimization
  • Systemic change in how society values communication diversity

The result: PRISM for neurodivergent communication assistance, Rubber Ducky for accessible voice-AI problem-solving, and research contributing to understanding AI system boundaries through transparent methodology.

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