Wilson Higashino is a software engineer and Big Data specialist with 11+ years of experience building high-performance, cloud-native data systems across industry and academia. He has led teams as Scrum Master and architected scalable pipelines using Google Cloud (BigQuery, Dataflow, Datastore) to support ad targeting and foot-traffic attribution, while also holding a Software Engineer role at Google. His research background (PhD and postdoc) produced novel multi-cloud CEP architectures and simulators that reduced query latency by ~60% and validated system behavior within 10% error, reflecting a strong blend of experimental rigor and production-grade engineering. Comfortable switching between research and delivery, he’s skilled at cost-optimization for rapidly growing data volumes and translating technical roadmaps into client-facing products. Based in Kitchener, Ontario, he brings rare cross-pollination of academic publishing and enterprise-scale system design that fuels practical innovation.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Software Engineering, 3.76/4.00, Doctor of Philosophy (PhD), Computer Software Engineering, 3.76/4.00 at Western University
Doctor of Philosophy (PhD), Computer Science, 4.0 / 4.0, Doctor of Philosophy (PhD), Computer Science, 4.0 / 4.0 at Universidade Estadual de Campinas
Contributions:3 commits, 2 pushes, 1 branch in 1 day
evaluatorexpression-parserparser
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