I See Connections Others Miss
Not because I'm smarter—because my neurodivergent brain processes the world differently. Patterns emerge across domains that others don't connect. Combined with 20+ years of software engineering, these insights don't stay ideas.
They get built.
The Neurodivergent Edge
Some people are good at deep specialisation—knowing everything about one domain. That's valuable. But my neurodivergent brain works differently.
I see patterns across domains that seem unrelated. Savant cognition research becomes AI architecture (Savanax). Polyvagal Theory becomes biometric wellness (PSight). My son's support needs become autonomy-preserving automation (AxelV1).
These connections aren't random. They're structural similarities that become obvious once you see them—but most people never look in the right places. The same brain that society calls "different" is exactly what makes these innovations possible.
The engineering background means I don't just see these connections—I can build them.
The Journey
How a career in software engineering evolved into building systems nobody else thought of.
Foundation Building
Two decades of software engineering across enterprise systems, startups, and consulting. The technical foundation that makes unconventional ideas actually buildable.
The Neurodivergent Edge
The same brain that processes the world differently started noticing patterns across domains that others missed. Savant cognition research + AI architecture. Polyvagal Theory + biometric wellness. Care automation + autonomy preservation.
Building the Unusual
Now focused on turning those cross-domain insights into working systems. Savanax, AxelV1, PSight—ideas that seemed off-tangent until you review the research. Technology shaped by lived experience.
Working Principles
The ideas that guide how I approach problems and build solutions.
Nothing About Us Without Us
Technology for neurodivergent people should be built by neurodivergent people. Lived experience isn't a nice-to-have—it's the core insight.
Autonomy Preservation
Systems should amplify voices, not silence them. Automation should augment human judgment, never replace it. The person's preferences are always the primary signal.
Preserve Disagreement
Compression creates false consensus. Whether in AI systems or human discussions, preserving tension and nuance leads to better outcomes than averaging everything away.
Build to Learn
Ideas are cheap. Implementation reveals truth. Every innovation here started as a question that could only be answered by building the answer.
Technical Capabilities
20+ years means a deep toolkit. Here's what I actually use to build things.
AI & ML
- +Multi-model orchestration
- +RAG architecture
- +Prompt engineering
- +Self-hosted inference
- +Cost optimisation
Backend
- +TypeScript/Node.js
- +Python/FastAPI
- +PostgreSQL/PostGIS
- +Event-driven systems
- +Microservices
Frontend
- +React/Next.js
- +Accessibility (WCAG AAA)
- +Design systems
- +Real-time interfaces
- +Progressive enhancement
Infrastructure
- +Kubernetes
- +Docker
- +CI/CD pipelines
- +Cloud architecture
- +Self-hosting
Working With Me
I work best on projects that seem slightly unconventional. The ideas that make people tilt their heads and say "wait, could that actually work?"
If you've got a straightforward CRUD app, there are plenty of capable developers. But if you're trying to build something that requires seeing connections others miss—that's where I add the most value.
The hybrid coding model means you won't just get a working system—you'll understand it deeply enough to evolve it yourself.
Let's Build Something Unusual
Got an idea that sounds too unconventional? Those are my favourite. Let's talk about what's possible.