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'm seeking research-focused positions in computer vision and AI, aiming to contribute to cutting-edge developments as a Research Scientist.
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 at conferences, such as MWAIS, AIMLA, and CADSCOM, and 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.
Published 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
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.
Read about my recent research projects and current developments...
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Read about my wins and experiences from my participations at Hackathons...
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Featured speaker at Data Tech Conference (2024-2025) and DREAM student organization events
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Medium