Engineering leader for AI products. 15M+ researchers use what my teams build each year.

I am an engineering manager and a solution architect at Elsevier. I took LeapSpace from inception to production in under 6 months. It passed 1M active users within 10 months of launch. Before that I led Scopus AI and Engineering Village. Based in Amsterdam.

_{23+ years writing software · 13+ years across Stockholm, Alexandria and Amsterdam · 8+ years leading teams}

• Engineering leadership: clear ownership and sound technical judgment, so teams building complex platforms know what they own and why.
• 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.

• LeapSpace: from zero to 1M+ active users _{Elsevier, Aug 2025 to present}
  Launched in January 2026. $6.5M+ in subscriptions and 1M+ active users in the first 10 months.
• Engineering Village: a $40M+ discovery platform _{Elsevier, Sep 2022 to Mar 2024}
  About $500K saved per year, and pipelines that are more scalable, more traceable and less error-prone.
• Scopus: modernizing a legacy platform _{Elsevier, Sep 2020 to Aug 2022}
  API responses dropped from about 30 seconds to about 3. Releases moved from monthly to daily.
• Zoover: replacing a 15-year-old legacy system _{Zoover, Jan 2019 to Sep 2020}
  Average page load fell from 9 seconds to 3.

On GitHub: Penetration Testing Study Notes

All work →

• 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.

How I lead, architect and bring AI to production →

• Backend: Java, Spring Boot, Node.js, TypeScript, Python
• Frontend: React, Redux, JavaScript, HTML/CSS
• AI/ML: LangChain, LangGraph, LangFlow
• Architecture: Microservices, DDD, event-driven systems with Kafka and RabbitMQ
• Databases: PostgreSQL, MongoDB, Elasticsearch, Redis, DynamoDB, OracleDB
• Cloud & DevOps: AWS, GCP, Kubernetes, Docker, Jenkins, GitHub Actions
• Observability: New Relic, Grafana, Prometheus, Kibana

Clouds - broken clouds, 10°C (feels like 10°C), humidity 96%.
_{Range 10°C to 11°C · Sunrise 07:37 · Sunset 17:10}

_{I write about AI systems, architecture, cloud, backend and engineering leadership. If that overlaps with what you are building or hiring for, say hello.
Last updated Monday, 2 November 2026 at 04:58 CET · README build}