Summary
Attila Lengyel is an applied scientist and final-year PhD candidate at TU Delft specializing in computer vision, self-supervised representation learning, and in-/equivariant architectures, with a decade of experience building research-driven ML systems. He currently develops computer vision algorithms for automated HD map creation at TomTom and previously contributed to Google’s Visual Positioning System during a research internship. His work bridges fundamental deep learning research and practical deployments, from segmentation-based recycling PoCs to stereo visual odometry for robotics. A globetrotting researcher, he has visiting stints at AIML (University of Adelaide), QUT, and NTNU, reflecting a strong collaborative and interdisciplinary mindset.
9 years of coding experience
5 years of employment as a software developer
Visiting Researcher, Computer Vision, Visiting Researcher, Computer Vision at QUT (Queensland University of Technology)
Pre-university education (VWO), Pre-university education (VWO) at Esdal College
Doctor of Philosophy - PhD, Computer vision, Doctor of Philosophy - PhD, Computer vision at TU Delft
Master of Science (MSc), Electrical Engineering, Signals & Systems, GPA 8.2/10.0, Master of Science (MSc), Electrical Engineering, Signals & Systems, GPA 8.2/10.0 at Delft University of Technology
Visiting researcher @ Australian Institute for Machine Learning (AIML), Visiting researcher @ Australian Institute for Machine Learning (AIML) at University of Adelaide
Praedinius Gymnasium
Norwegian University of Science and Technology
Dutch, English, Hungarian, German