Sebastian Dobon is a software engineer based in California with a decade of experience building high-performance, distributed systems and ML infrastructure. He has shipped production database engine features in C++ at Ocient, built petabyte-scale distributed pipelines and DNN serving infrastructure at Verily, and now works at Google. His strengths lie at the intersection of scalable architecture, graph algorithms, and robotics-inspired problem solving, with hands-on experience optimizing IO and reducing ML training time through materialization-free training. Comfortable across languages (C++, Go, Python) and cloud tooling, he also brings product-focused rigor from roles as a technical product owner where he drove measurable improvements in AI recall and ETL robustness. Notably, he pairs low-level systems work with pragmatic dashboards and tooling he implemented himself to accelerate team delivery.
10 years of coding experience
5 years of employment as a software developer
American School of Dubai
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Northwestern University
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