Oscar R. is an experienced Software Engineer with a strong background in machine learning and system reliability gained through tenure at Google from August 2021 to September 2025. In this role, Oscar R. has focused on improving runtime efficiency for machine learning workloads on TPUs and enhancing the reliability and scalability of Google Search. Prior to this, Oscar R. built observability infrastructure to optimize resource utilization and implemented logging solutions to support the development experience. Early experience includes internships at Lyft, where Oscar R. contributed to user account segmentation and developed a pricing ingestion pipeline, alongside a Bachelor's degree in Computer Science from Tecnológico de Monterrey and participation in a Site Reliability Engineering Fellowship.
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