Summary
Aleksei Evlampev is a machine learning engineer with 11 years of experience building autonomous driving systems and commercial computer vision products. He combines academic rigor from Innopolis University’s robotics lab with hands-on production work at Ozon Tech and Verne, delivering localization, SLAM, sensor fusion, and perception pipelines in C++ and Python. His background spans end-to-end development—from LIDAR-based 3D mapping and Bayesian filtering for vehicle state estimation to ML-driven dimensioning devices for logistics. Earlier roles in full-stack and mobile React development honed his product-focused mindset and customer collaboration skills. Now based in Zagreb, he focuses on scalable services and infrastructure for autonomous vehicles while retaining a practical knack for optimizing real-time systems. Peers note his ability to bridge research-grade algorithms and deployable engineering solutions across constrained embedded and cloud environments.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Innopolis University