Summary
Abraham Cano is a sensing and perception specialist with 11 years of experience building computer vision and AI systems for autonomous driving, currently a PhD candidate at Nagoya University. He has led engineering and executive teams as VP of Engineering at Map IV and CEO of Perception Engine, translating deep research on cameras and LiDAR into production-ready perception stacks. His hands-on work spans Deep CNNs, optical flow, SVMs, and real-time tracking for cars and pedestrians, with internships and research roles at Toyota and Tier IV. Abraham’s background bridging academic research and enterprise delivery is reinforced by earlier full-stack and systems roles in video processing and IT management, giving him a rare blend of perception research rigor and operational reliability. Notably, he has repeatedly shipped robust, always-on systems—from TV broadcast processing to fleet-grade mapping and sensing—across multicultural teams in Japan and beyond.
11 years of coding experience
9 years of employment as a software developer
High Specialization Training, Computer Engineering, High Specialization Training, Computer Engineering at Kanazawa Institute of Technology
Universidad Nacional Autónoma de México (UNAM)
Master's degree, Computer Science, Master's degree, Computer Science at 名古屋大学
Doctor of Philosophy (PhD), Information Science/Studies, 1, Doctor of Philosophy (PhD), Information Science/Studies, 1 at Nagoya University
Japanese, English, Spanish