Engineering leadership
Clear ownership and sound technical judgment, so teams building complex platforms know what they own and why.
Engineering leader for AI products.
I lead teams and architecture that turn AI capabilities into reliable products at Elsevier. My work includes LeapSpace, Scopus and Engineering Village.
Based in Amsterdam.
What I focus on
Architecture at scale
Distributed systems, microservices and cloud platforms that stay maintainable and secure as they grow.
AI engineering
Prototypes turned into production systems that are reliable, observable and secure.
Selected work
Elsevier · LeapSpace
LeapSpace: building an AI research platform
Delivered a production beta in six weeks, followed by the full commercial launch in January 2026.
Elsevier, Sep 2022 to Mar 2024
Engineering Village: modernizing research discovery
Moved the data pipelines to the cloud, improving scalability and traceability.
Elsevier, Sep 2020 to Aug 2022
Scopus: modernizing a legacy platform
API responses dropped from about 30 seconds to about 3. Releases moved from monthly to daily.
Zoover, Jan 2019 to Sep 2020 (team lead role)
Zoover: replacing a 15-year-old legacy system
Average page load fell from 9 seconds to 3.
Selected writing
View all writing →Is it really "the end of software engineering"?
A paper titled 'The End of Software Engineering' became 'Agentic Software' in six days. What it really argues, what holds up, and what it means for engineers.
- ai
- agents
- software-engineering
- architecture
OriginalRead article →
Authenticating Backend-to-Backend Services in Spring Boot: A Comprehensive Guide
A Comprehensive Exploration of Authentication Strategies for Secure Service-to-Service Communication in Spring Boot
- java
- spring-boot
- microservices
MediumRead article →Simplifying Java with Apache Commons Lang 3 - Practical Examples
Practical string, object, number, test-data and legacy date helpers, with version and security caveats.
- java
- testing
MediumRead article →Demystifying Database Impedance Mismatch: A Simple, Straightforward Guide
Why object models and relational tables differ, and how to manage the mapping without hiding correctness or performance costs.
- database
- data-structures
MediumRead article →All You Need to Know About Algorithm Complexity Analysis and Big O
In Depth Guide to Algorithm Complexity Analysis and Big O with examples to prepare for your interview
- java
- algorithms
MediumRead article →
Engineering principles
Simple systems scale better than clever ones.
Observability is part of the product, not an afterthought.
Security starts with architecture, not after implementation.
AI amplifies judgment; it does not replace it.
Good leadership creates clarity, ownership and room to keep learning.
Let's connect
I write about AI systems, architecture, cloud, backend and engineering leadership. If that overlaps with what you are building or hiring for, say hello.