Povilas Daniušis is an algorithm engineer and machine learning scientist with nine years of experience building robotics and biometric recognition systems from research prototypes to production-ready components. At Neurotechnology he started and leads the SentiBotics mobile manipulator project, designing custom ROS-based robotics algorithms spanning SLAM, autonomous navigation, arm-camera calibration, planning, 3D object recognition and grasp-pose estimation. He has improved facial, iris and object recognition pipelines to achieve better ROC performance and faster matching, combining signal-processing rigor with practical engineering. Concurrent academic roles as Senior Research Fellow and former lecturer reflect a strong theoretical foundation—he earned a PhD in computer science and contributed to causal-inference research during a Max Planck internship. Povilas bridges academia and industry, shipping complex perception systems while mentoring students and shaping national AI efforts as a past board member of the Artificial Intelligence Association of Lithuania. Colleagues note his ability to turn advanced research (e.g., IGCI causal methods) into tangible algorithmic gains in real-world robotics and biometrics.
9 years of coding experience
PhD, Computer science, PhD, Computer science at Vilnius University
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Povilas Daniušis - Algorithm Engineer at Neurotechnology