Summary
Denis Hadjivelichkov is an applied scientist based in London with eight years of experience at the intersection of computer vision, machine learning and robot control, now focused on one-shot robot skill transfer via affordance representations and imitation learning. He completed a PhD-era research trajectory at UCL developing self-supervised and unsupervised robot skill learning, visual correspondences and affordance models while co-supervising student projects and teaching probabilistic and robotics courses. Prior industry roles span hands-on applied science at Amazon (cutting item ID failures by 50% for manipulator vision) and hardware design/verification for camera pipelines at ARM, giving him rare cross-stack fluency from silicon and signal processing to learning-based perception and control. He combines rigorous academic methods with production-minded results, comfortable moving ideas from simulation and reference models into real robotic systems. An often-overlooked strength is his background in signal-processor design and low-level verification, which informs more robust, hardware-aware perception models.
8 years of coding experience
1 year of employment as a software developer
BEng Mechatronic Engineering with Industrial Experience, BEng Mechatronic Engineering with Industrial Experience at The University of Manchester
High School of Mathematics "Dr Petar Beron" - Varna
University College London
English, German, Bulgarian