Data Scientist Computer Vision Engineer AI Researcher
I'm an AI Engineer and Data Scientist, originally from The Netherlands. I earned my Master's in Data Science at Minnesota State University, Mankato, where I graduated top of my class. Previously, I completed my Bachelor's in ICT at HZ University of Applied Sciences in The Netherlands, with an Erasmus+ minor in Computer Science in Austria. My master's thesis focused on real-time snow detection using deep learning to enhance pedestrian safety. Currently, I work as an Applied AI Engineer at Taylor Corporation, where I apply my expertise in computer vision and deep learning to real-world applications. While I'm passionate about my current role, I remain open to research-focused opportunities that would allow me to contribute to cutting-edge developments in AI and computer vision.
My expertise lies in AI, computer vision, and generative models, with a strong research interest in autonomous AI and real-world applications of deep learning.
My research has been published in the JMWAIS journal and at conferences, such as MWAIS, AIMLA, and CADSCOM. My work explores innovative applications of AI, particularly in enhancing safety and automation. I am passionate about the intersection of deep learning and real-time systems.
CADSCOM 2024 Conference
"Snow Classification Using Prompt-Based Generated Images"Master's in Data Science
Minnesota State University, MankatoPeer-Reviewed Research
JMWAIS, MWAIS, AIMLA, CADSCOMErasmus+ Scholar
Netherlands, Austria, United StatesPublished in JMWAIS vol. 2025 issue 2. Co-authored with Dr. Rajeev Bukralia
Master's Thesis Paper
Published and awarded Best Paper at CADSCOM 2024 Conference, fast-tracked for JMWAIS journal. Co-authored with Dr. Rajeev Bukralia
Published at MWAIS Conference 2024. Co-authored with Dr. Rajeev Bukralia
Published at AIMLA 2024 Conference. Co-authored with Aishwarya Batra, Brandon Koch, Dr. Naseef Mansoor, and Hema Makkena
Speaking at FASTcon, an event bringing together technology professionals and innovators.
📍 Best Buy HQ, Richfield, MN
A mobile AI system that detects snow in real-time using spatial attention-based CNNs.
Researching how pre-trained prompt-based models and inverse diffusion models can improve synthetic data generation for snow detection training datasets.
An Android application bringing real-time snow detection to mobile devices. Currently in private testing phase. A valuable learning experience in mobile development, ethical data collection, and app publishing.
Read about my recent research projects and current developments...
Read More →
Read about my wins and experiences from my participations at Hackathons...
Read More →
Featured speaker at Data Tech Conference (2024-2025) and DREAM student organization events
Read More →
LinkedIn
GitHub
Google Scholar
Medium