About Craig
deaf AI Engineer, Accessibility Advocate, and Problem Solver
"I like to build things that matter. Whether it's developing AI systems that save lives, making enterprise collaboration frictionless, or creating tools for accessibility — my work focuses on turning cutting-edge technology into practical solutions that serve real people."
My Story
The Journey
As a deaf developer, I've experienced firsthand how technology can both create barriers and break them down. This perspective drives my work in AI engineering and accessibility development.
My career started with Excel spreadsheets for invoice tracking, then evolved into enterprise IT solutions where I learned to build reliable systems for everyone. This foundation naturally led me to AI engineering, where I discovered machine learning's potential to solve complex safety and accessibility challenges.
Today, I combine my expertise in computer vision, edge AI, and enterprise systems to create solutions that make the world safer and more accessible for all users.
The Mission
My mission is to demonstrate that accessibility and cutting-edge technology are not mutually exclusive. In fact, building for accessibility from day one often results in better products for everyone.
I focus on AI applications that serve critical safety needs — from drone detection for emergency response to predictive collision systems for cyclists. These aren't just technical challenges; they're opportunities to save lives and improve safety.
By sharing my journey and technical expertise, I hope to inspire more developers to consider accessibility in their work and to show that deaf engineers can excel in any technical field.
Technical Philosophy
🎯 Core Principles
Accessibility First
Build for accessibility from day one, not as an afterthought. This creates better products for everyone.
Real-World Impact
Focus on practical solutions that solve actual problems, not just technical complexity.
Safety & Reliability
When lives depend on your technology, reliability and safety are non-negotiable.
Continuous Learning
Stay current with AI/ML advances while maintaining focus on practical applications.
⚙️ Development Approach
Edge AI Focus
Develop AI systems that work reliably in real-world conditions, not just in controlled environments.
Scalable Solutions
Build systems that can scale from prototype to production while maintaining performance.
User-Centered Design
Design with real users in mind, especially those who are often overlooked in tech development.
Iterative Improvement
Continuously refine and improve based on real-world feedback and performance data.
Areas of Focus
AI/ML for Safety
Developing computer vision and machine learning systems for critical safety applications including drone detection, collision prediction, and emergency response.
- • Real-time object detection
- • Predictive analytics
- • Edge AI deployment
- • Safety-critical systems
Accessibility Technology
Creating inclusive technology solutions that serve deaf/HoH users and demonstrate the value of accessibility-first development.
- • XR captioning systems
- • Inclusive design principles
- • WCAG 2.1 AA compliance
- • deaf/HoH user advocacy
Enterprise Solutions
Building robust SharePoint and Microsoft 365 solutions that improve collaboration and productivity for organizations.
- • SharePoint migrations
- • SPFx development
- • Microsoft 365 administration
- • Workflow automation
Why AI Engineering?
The Opportunity
AI and machine learning represent the most transformative technology of our time. As a deaf engineer, I see unique opportunities to apply these technologies in ways that others might not consider.
Computer vision, for example, can provide visual alerts and information that traditional audio-based systems cannot. This isn't just about accessibility — it's about creating better systems for everyone.
The Impact
AI has the potential to solve some of our most pressing challenges — from improving safety in transportation to making technology more accessible to people with disabilities.
By focusing on edge AI and real-time processing, we can create systems that work reliably in critical situations where lives may depend on their performance.
Speaking & Advocacy
Conference Speaking
Advocacy Work
Speaking & Presentations
Featured AI Talk
I regularly speak at technology conferences and events about AI engineering, accessibility in technology, and building safety-focused applications. Here's one of my recent presentations on computer vision and AI safety applications.
Watch my presentation on AI engineering, computer vision, and building safety-focused applications.
Beyond Technology
Cycling
Passionate cyclist who developed BicycleRadar to improve safety for all riders. Believes technology should enhance outdoor activities and promote health.
Innovation
Founded Beacon Safety Co. to bring innovative safety solutions to market. Believes in the power of entrepreneurship to drive positive change.
Community
Active in the deaf/HoH community and technology advocacy. Committed to making technology more inclusive and accessible for everyone.
Let's Connect
Interested in AI engineering, accessibility technology, or just want to learn more? I'm always open to discussing new opportunities and collaborations.