I build AI systems that real organizations actually use.
Practical AI, production-ready software, and automation—engineered to work in the real world, not just in demos.
I'm a Computer Science graduate from the University of Amsterdam who builds AI-powered systems and automation for organizations that need them to actually work. My focus is on production-grade software—systems that handle real workloads, real users, and real edge cases. I'm comfortable moving across the full stack: from architecture and infrastructure decisions to implementation, integrations, and the product thinking that makes technical work meaningful. I'm interested in the intersection of AI, software engineering, and how organizations actually get value out of both.
Present
- Part of the 8-person Innovation team, building and scaling LuisterLinie — a production AI transcription platform used across the organization.
- Lead architectural decisions across backend, frontend, and infrastructure for LuisterLinie; own new feature development and deployment.
- Collaborate with the team on new AI initiatives and integrating practical AI into organizational workflows.
Nov 2025
- Maintained and extended a web scraper covering ~400 news and media sources.
- Added new sources, improved reliability and coverage of existing ones, and resolved breakage as target sites changed.
- Worked across the scraping pipeline to keep data ingestion accurate and up to date.
Aug 2025
- Studied algorithms, systems programming, machine learning, and software engineering.
- Built technical foundations in distributed systems, data structures, and applied mathematics.
A production transcription application used inside a large Dutch social services organization. Serving hundreds of monthly users, the system handles audio processing at scale with a focus on accuracy, reliability, and privacy.
Let's work
together.
I'm open to conversations about AI engineering roles, technical leadership positions, or interesting problems worth solving.