Roland Dev is a Machine Learning Engineer with 13 years of experience building perception and autonomy systems for vehicles and drones, currently leading geo-expansion efforts at Wayve to make cars autonomous anywhere. He has deep expertise in vision and LiDAR — from SLAM and landmark detection on resource-constrained drone hardware to large-scale self-driving perception and annotation tooling. Roland has built production-ready pipelines and research-to-product features, including an image-search engine to accelerate annotation and algorithms that streamline lidar/object labeling. His background spans both academic research and industry deployments across Autonomous Intelligent Driving, Annotell, and Bumble, showing a pattern of turning novel ML into operational systems. Fluent in classical CV and modern deep learning, he brings practical pragmatism shaped by shipping systems in constrained and safety-critical environments.
13 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Cognitive Artificial Intelligence, Master of Science (MS) Cognitive Artificial Intelligence at Radboud University
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