Summary
Aleksei Vetrov is a software engineer with 11 years’ experience building system-level and real-time software, currently working on Android kernel and systems at Google in London. He previously developed real-time motion planning for Yandex Self-Driving Cars and optimized embedded automotive platforms (Yocto, Android) for Yandex Auto, demonstrating deep expertise in low-latency, safety-critical systems. Trained in computer software engineering and advanced machine learning engineering at Yandex School of Data Analysis (GPA 4.92), he bridges algorithmic thinking and production-grade systems implementation. Aleksei is comfortable across kernel, embedded Linux, Android internals, and performance tuning, often translating research-grade ideas into reliable code for constrained environments. He combines hands-on engineering with a strong focus on robustness and real-time guarantees, an asset for complex automotive and mobile platforms. Based in the UK, he brings both large-tech and autonomous vehicle experience to system and infrastructure challenges.
11 years of coding experience
Software Engineering in Machine Learning, GPA 4.92, Software Engineering in Machine Learning, GPA 4.92 at Yandex School of Data Analysis
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Tomsk Polytechnic University
English, Russian