Summary
Emanuel Vianna is a Software Engineering Manager with 11 years of experience building and leading teams that deliver large-scale AI and recommendation systems, now at Google after heading AI at SEEK. He holds an MSc in Computer Science with expertise in statistical modeling of highly parallel systems, a perspective he’s applied to search, matching and high-throughput architectures across startups and enterprise products. Emanuel combines hands-on system design and coding with product and stakeholder leadership—having worked as a software engineer, data scientist, and product manager—to turn research hypotheses into production impact. He has a proven track record scaling recommendation platforms on AWS, designing record linkage and crawler systems, and shaping AI strategy and budgets for cross-functional organizations. Not obvious from the title: his academic work on pipeline-parallel performance modeling directly informs how he predicts and mitigates real-world system bottlenecks.
11 years of coding experience
13 years of employment as a software developer
Graduate, Ciência da Computação, GPA: 3.33/4.0, Graduate, Ciência da Computação, GPA: 3.33/4.0 at PUC Minas
Master’s Degree, Computer Science, GPA: 3.67/4.0, Master’s Degree, Computer Science, GPA: 3.67/4.0 at Universidade Federal de Minas Gerais
English, Spanish