Peter Cerno is a Staff Software Engineer at Google with 11 years of experience blending theoretical computer science rigor and practical machine learning and forecasting systems. He progressed through multiple engineering levels at Google since 2014 and brings deep expertise in large-scale prediction engines from earlier work building demand-forecasting, safety-stock and promo-analysis modules for supply-chain clients. His academic background includes a PhD in Theoretical Computer Science and top exam results, which inform his analytical approach to complex distributed and data-intensive problems. Colleagues rely on him for high-performance, parallelized algorithm design and for turning research-grade methods into production-ready services. Based in Zurich, he combines research-level thinking with hands-on system optimization at cloud scale—often surfacing subtle dependencies in multi-echelon supply networks that improve real-world outcomes.
11 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Science, Graduated with honors., Bachelor's degree, Computer Science, Graduated with honors. at Charles University
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