Summary
Alexander Fomenko is an independent entrepreneur and experienced computer vision and deep learning engineer with 11 years building production ML systems across autonomous vehicles, medical imaging, oil & gas, and smart infrastructure. He has led AI departments and startups, architecting MLOps pipelines and active learning workflows while managing annotation teams and outsourced data science partners. Technically fluent in Python, TensorFlow/PyTorch, C++, ROS and OpenCV, he pairs research-oriented robotics training (Innopolis Master’s) and a Udacity Self-Driving Car credential with hands-on deployment experience. Alexander’s background in control theory and SLAM informs practical solutions from robot navigation to segmentation and detection at scale. As an entrepreneur (makely.ru) and former CEO, he brings product-facing judgment and team leadership to complement deep technical craft.
11 years of coding experience
8 years of employment as a software developer
Master's degree Robotics, Master's degree Robotics at Innopolis University
Nanodegree Self-Driving Car Engineer, Nanodegree Self-Driving Car Engineer at Udacity
Master's degree Information Technology, Master's degree Information Technology at Ural Federal University