Daniel Ruiz is a software engineer with nine years of experience building scalable backend systems, generative AI and machine learning integrations, and big-data infrastructure, currently contributing to Meta’s developer platform in California. At Meta he led cross-organizational efforts to build support tooling for the WhatsApp Cloud API and integrated ML pipelines to detect spam and policy violations, demonstrating both product and platform-level impact. Previously at IBM he made key architectural decisions across microservices for a Fortune 500 fund management app and is a named co-inventor on three patents. His early research at UC Davis produced practical ML implementations (ARIMA, RNNs, ridge/lasso) that improved forecasting error by about 30%, showing a knack for turning models into measurable improvements. Comfortable across the stack, he blends systems thinking with applied ML and developer tooling, and brings experience shipping critical infrastructure for one of the largest consumer-facing platforms.
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