Andrei Bokovoi is a software engineer specializing in GPU-accelerated systems, computer vision and robotics, with about a decade of experience spanning research labs, top Russian universities and industry roles. He currently works at AMD after contributing optimized inference paths and LLM forward/backward performance improvements for PyTorch/FBGEMM on AMD GPUs. His background includes developing real-time 3D reconstruction and GPGPU algorithms for embedded and scanner platforms, plus publishing and supervising work in SLAM and autonomous systems. Andrei combines deep academic training (PhD-level work) with hands-on production optimization for SoCs and modern GPU stacks, and is known for translating cutting-edge research into practical, high-performance software. A curious lifelong learner, he pairs teaching experience with mentoring newcomers inside engineering teams.
9 years of coding experience
12 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Peoples’ Friendship University of Russia
Contributions:61 commits, 10 PRs, 46 pushes in 9 months
reconstructionroboticspoint-cloudsros2ros-node
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