AI-powered systems
Designing AI capabilities that move beyond prototypes into reliable, observable, and secure production systems.
Anas Aboreeda
Engineering leader building reliable AI systems at scale.
I lead engineering teams and architecture for AI-powered research platforms, combining production software engineering, distributed systems, cloud architecture, and practical AI delivery.
Based in Amsterdam. Currently working on LeapSpace at Elsevier.
- 22+Years programming
- 12+Years international software experience
- 5+Years engineering leadership
- AIProduction systems & architecture
What I focus on
Engineering leadership
Creating clarity, ownership, and strong technical judgment across engineering teams working on complex product platforms.
Architecture at scale
Evolving distributed systems, microservices, cloud infrastructure, and backend platforms with maintainability in mind.
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
Streamline Your Java Development: Practical Guides to Utilizing Apache Commons Lang 3
- java
- testing
MediumRead article →Demystifying Database Impedance Mismatch: A Simple, Straightforward Guide
One of the main drawbacks of using SQL databases is Impedance Mismatch.
- database
- data-structures
MediumRead article →All You Need to Know About “Algorithms 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 continuous learning.
Let's connect
I write about AI systems, software architecture, cloud engineering, backend development, and engineering leadership.