Aleksandr Kiselev is a Simulation Engineer and senior C++/Python developer with over a decade of experience building high-performance systems for robotics, autonomous vehicles, and multi-agent simulations. He has driven production diagnostics and telemetry tooling at scale for Yandex’s AV stack, created Bazel+Python code-generation pipelines, and automated diagnostics documentation to accelerate fleet triage. More recently he architected and optimized multi-drone light-show simulations—designing trajectories and conflict-avoidance for thousands of agents and cutting runtimes from hours to minutes through algorithmic and multithreaded improvements. His background spans ML-driven 2D↔3D scene reconstruction research and full-stack product delivery, giving him both R&D curiosity and shipping discipline. Based in Belgrade, he thrives in small, fast teams and on project-based work that blends geometric thinking with pragmatic engineering. An underappreciated strength is his knack for turning diagnostics and tooling into proactive reliability improvements that save operator time across large distributed systems.
11 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Ivanovo State Power Engineering University
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