Yakau Bubnou is a Senior Applied Scientist based in Berlin with 13 years of experience spanning systems engineering, backend services, and machine learning for mapping and safety. He has driven production ML work at Lyft improving map quality and led sign-detection, data labeling, and distance-estimation efforts, and has deep experience building distributed systems and experimentation platforms at startups and infrastructure firms. At Wolt he bridges applied science and software engineering, bringing research-grade methods into product-facing systems. His background includes PhD-level computer science training and hands-on work across DNS/DDI platforms, cloud provisioning, and pricing experimentation, giving him a rare combination of low-level systems rigor and practical ML deployment expertise. Colleagues describe him as someone who makes complex, data-driven algorithms reliably work in large-scale, real-world pipelines.
13 years of coding experience
11 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Belarusian State University of Informatics and Radioelectronics
Contributions:2 releases, 60 commits, 189 PRs in 3 years 9 months
middlewareopenflow
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