Founder, engineer, and AI architect on a mission to eliminate paperwork in medicine.
My journey started in 2015 during high school, tinkering with code and building applications. That curiosity evolved into Ayubi IT, where I freelanced for 5 years doing web development and client projects. I studied Wirtschaftsinformatik at HHN for 7 semesters, briefly studied AI remotely at IU, and then transitioned to a bachelor's degree in AI at Radboud University, where I'm currently studying.
In 2023, I moved to the Netherlands and went all-in on Neolyth and Vocadoc. I wrote the first line of code and shipped an AI-powered SaaS platform that listens to medical consultations and drafts complete records in seconds. Since launching in March 2025, Vocadoc has become part of the first wave of EU-hosted AI documentation platforms tailored to Dutch GGZ workflows.
Why it matters: Care teams lose up to 40% of their day to admin. Our fully encrypted, GDPR-compliant platform gives that time back to patient care.
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The Netherlands Enterprise technology consultancy specializing in:
Full-stack technology partner for businesses seeking cutting-edge solutions. |
Launched March 2025 AI-powered medical documentation platform for Dutch healthcare:
Giving care teams up to 40% of their day back for patient care. |
End-to-end product delivery. I wrote the first line of code for Vocadoc and shipped it to production. From architecture to deployment, from ML pipelines to frontend polish.
Real-world infrastructure at scale. I manage the Neolyth datacenter, run self-hosted Proxmox + Kubernetes clusters, handle AWS deployments, and orchestrate zero-downtime releases with full observability.
AI/ML in production. PyTorch + TensorRT speech-to-text, prompt engineering, GPU-accelerated inference, continuous model evaluation. Not just theory - real systems processing real medical consultations.
Security & compliance. Encrypted data flows, RBAC, audit logging, GDPR + ISO 27001 alignment, HIPAA-ready design. Healthcare data demands it, and I deliver it.
If a problem falls outside my stack, I learn it fast and ship.
stack = {
"backend": ["Python", "FastAPI", "Flask", "Node.js"],
"frontend": ["React.js", "Next.js", "JavaScript"],
"ml_ai": ["PyTorch", "TensorRT", "Prompt Engineering", "GPU Inference"],
"infrastructure": ["Docker", "Kubernetes", "Proxmox", "Self-Hosted Datacenters"],
"devops": ["GitLab CI/CD", "Zero-Downtime Deploys", "IaC", "Observability"],
"databases": ["PostgreSQL", "Redis", "TimescaleDB", "Vector DBs"],
"cloud": ["AWS", "Hybrid Cloud", "Multi-Cloud"],
"security": ["Encryption", "RBAC", "Audit Logging", "GDPR/ISO 27001"]
}A decade of hands-on work. From first commit to live rollout.
Note: This stack represents my primary tools, but my expertise extends far beyond these technologies. From embedded systems to cloud platforms, from frontend frameworks to AI inference engines. If it's in the technology domain, I've likely worked with it.
Important Context: This isn't my primary development platform. At Neolyth, we run self-hosted GitLab for superior code isolation and security. Most of my daily work lives there.
What you'll find here:
- Open-source utilities and tools I've built
- Public scripts and automation helpers
- Experimental projects and proof-of-concepts
- Community contributions
My commit graph doesn't reflect my actual development velocity! Judge the code quality, not the activity metrics.
When my schedule allows, I advise teams on applying AI, automating workflows, and architecting scalable cloud or self-hosted solutions. I own Vocadoc's roadmap, certifications, and growth while steering Neolyth's wider push into AI software.
If you're building something in healthcare tech, AI infrastructure, or need someone who can navigate from hardware to application layer - let's talk.
I build AI products and use AI tools in my workflow. Both require the same principle: human-centric design with critical evaluation.
AI should assist and augment, not replace judgment. Whether I'm architecting Vocadoc's clinical documentation system or using AI to accelerate my own development, I approach it with the same rigor - understanding the output, validating the logic, and maintaining accountability.
The technology is transformative when applied thoughtfully. The key is knowing when to leverage it and when to step back and understand the fundamentals yourself.
Building systems that matter. Solving problems that scale.
Self-hosted infrastructure | GenAI applications | Full-stack architecture



