Building robust AI systems, adversarial detection, and scalable backend solutions.

I'm Ian — a software and machine learning engineer passionate about building robust AI systems and exploring how learning-based agents can make autonomous decisions.
I hold a Bachelor’s degree in Computer Science from Avans University of Applied Sciences and am currently pursuing a Master’s in Artificial Intelligence at Utrecht University. My research focuses on adversarial detection and robust computer vision models.
During my time at Hilti, I developed automation systems that streamlined manual processes and improved reliability. I enjoy combining practical engineering with theoretical research to create scalable solutions.

September 2022 – Present
Utrecht University
Grade: 7.2
Thesis grade: 7.0
Advanced study of machine learning and neural architectures, with research on adversarial detection and robust computer vision models using global-local feature fusion.
Key Courses
August 2016 – February 2021
Avans University of Applied Sciences
Grade: 7.9
Thesis: 8.5
A program combining theoretical and practical computer science, focusing on system design, software engineering, and algorithmic problem-solving.
Key Courses
September 2024 – July 2025
TNO
Den Haag, Zuid-Holland, Nederland · On-site
Research internship focused on adversarial machine learning, robust computer vision models, and evaluating global-local feature fusion architectures for multi-scale adversarial detection.
Skills
August 2018 – March 2024
Hilti Nederland BV
Berkel en Rodenrijs, Zuid-Holland, Nederland
Part-time role involving technical software development, internal tooling, and designing workflow systems for multiple teams.
Skills
October 2019 – April 2020
Hilti Nederland BV
Berkel en Rodenrijs, Zuid-Holland, Nederland
Internship focused on developing internal software tools, improving efficiency, and enhancing technical documentation pipelines.
Skills
September 2021 – February 2022
TNO
Den Haag, Zuid-Holland, Nederland
Graduation project on real-time visualization of virtual 3D environments in the browser using the Cesium.js framework, enabling efficient large-scale rendering.
Skills