Summary
Nadir Nadirbekov is a Deep Learning Engineer with nine years of experience building ML systems for robotics, autonomous vehicles, and delivery marketplaces. He has designed Transformer-based motion planners and imitation learning pipelines for self-driving, built real-time demand forecasting and graph-based courier optimization, and automated computer-vision quality checks for delivery operations. Comfortable across the stack, he moves from data collection and model training to infrastructure and production integration, and has mentored junior engineers along the way. His background in mechatronics and early work on underwater robots and lidar-based railway diagnostics gives him a hands-on edge for perception-to-control problems. Currently shaping AI-driven features at Yandex Delivery, he also prototypes AI agents and MVPs to rapidly validate new business ideas. Colleagues describe him as a fast learner who deliberately seeks roles that push his technical limits toward a long-term focus on robotics and machine intelligence.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering, Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering at Bauman Moscow State Technical University