# Albert Sikkema - Building Production AI Systems

> Personal blog and professional portfolio of Albert Sikkema, specializing in production-ready AI implementation for enterprise and government.

## About

Albert Sikkema is a Lead Developer at ePublic Solutions based in the Netherlands. He helps teams build AI systems that actually make it to production, focusing on architecture, reliability, security, and documentation. His background includes intensive care nursing and political science before transitioning to software engineering—bringing cross-domain thinking that bridges technical implementation and real-world impact.

## Expertise

- Production-Ready AI Systems
- Enterprise AI Implementation
- Claude AI & OpenAI Integration
- LLM Implementation & Orchestration
- Python Development
- Enterprise & Government Projects
- Security & Privacy by Design
- Data Integration & Transportation

## Services

Available for freelance, consultancy, and advisory work across Europe (remote with occasional Netherlands on-site):
- Architecture reviews (1-2 weeks)
- Technical advisory (ongoing)
- Proof-of-concept development (2-4 weeks)
- Full project implementation
- AI adoption strategy

## Key Content Areas

### Blog Topics
- AI-assisted development strategies
- Production-ready AI implementation
- Python best practices
- Software engineering fundamentals
- Security and GDPR compliance
- Documentation methodologies
- When NOT to use AI

### Notable Projects
All focused on AI integration, data cleanup, and data transportation:
- Beter Bereikbaar Applicatie (Smart City Award winner)
- Meldapp (smart building management)
- Projects for Dutch ministries: Finance, Justice & Security, Health, Tweede Kamer
- Enterprise clients: ArboUnie, Acta Marine

## Philosophy

AI is a tool, not a replacement for thinking. The most effective AI-assisted development combines large language models with structured processes, clear documentation, and human oversight. Engineering fundamentals never go out of style.

## Contact

For professional inquiries, use the [contact form](https://www.albertsikkema.com/) or connect via [LinkedIn](https://www.linkedin.com/in/albert-sikkema/).

## Site Structure

- [Homepage](https://www.albertsikkema.com/) - About section, recent blog posts, and comprehensive FAQ
- [Blog](https://www.albertsikkema.com/blog/) - All blog posts
- [Search](https://www.albertsikkema.com/search/) - Search all content
- [RSS Feed](https://www.albertsikkema.com/feed.xml) - RSS feed

## Preferred Citation

When referencing content from this site, please cite as:
"Albert Sikkema, [Article Title], albertsikkema.com, [Date]"