Summary
Xián Álvarez is a computer vision and robotics engineer with nine years of hands-on experience building SLAM systems and applying deep learning to video surveillance and perception stacks. He has led Lidar SLAM and sensor-fusion efforts (visual, LiDAR, IMU, wheel odometry, GNSS) across industry roles, most recently as Lead Autonomy Engineer and now as a research collaborator at a Galician mathematical research center. With a strong mathematics and statistics background, including masters in computer vision and statistics, he bridges rigorous modelling and practical engineering—implementing production-grade modules and publishing scientific work from earlier research. Xián’s profile blends academic depth (projects like GANESO and transient gas-network simulation) with product-driven autonomy work for aerial and ground platforms. Colleagues know him for turning complex sensor fusion problems into robust pipelines that perform in real-world, safety-critical settings.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree, Master in Computer Vision, Master’s Degree, Master in Computer Vision at Universitat Autònoma de Barcelona
Uniwersytet Łódzki
Master en Técnicas Estadísticas e Investigación Operativa, Estadística, Master en Técnicas Estadísticas e Investigación Operativa, Estadística at Universidad de Santiago de Compostela
Galician, Spanish, English