Summary
Ayan Mazhitov is a Machine Learning Engineer and robotics specialist with eight years of experience bridging Q1-published research and robust commercial deployments. He builds end-to-end robotics stacks, from inverse kinematics and MoveIt integration to PyTorch-driven perception, and has delivered production systems for quadrupeds and industrial arms (Unitree Go1, Franka Emika). At Telexistence he improved fleet reliability and throughput—reducing force-sensor escalations by 85% and cycle times by 1.3s—while at research institutes he developed tactile-driven exploration and multimodal sensor-fusion models yielding high-accuracy object classification. Comfortable across C++/Python and ROS/YARP ecosystems, he melds classical control with modern deep learning to solve real-world automation problems. Now based in Tokyo and currently at Woven by Toyota, he continues to translate cutting-edge tactile and HRI research into scalable, industry-grade robotic solutions.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Robotics engineering, 104, Master's degree, Robotics engineering, 104 at Università degli Studi di Genova
Bachelor's degree, Robotics and mechatronics, 3.72, Bachelor's degree, Robotics and mechatronics, 3.72 at Nazarbayev University