Joe Benassi is a software engineer with 12 years of experience building large-scale measurement and ML-driven systems at Google, currently focused on a Data Anomaly Attribution Engine in Madison, WI. He previously advanced ad visibility and Brand Measurement across YouTube and AdExchange, launching predictive viewability models and an aggregation pipeline used to report industry-leading metrics. His technical work has improved monitoring performance dramatically (100x runtime reduction, 60% lower latency) and reduced operational costs and failures through pragmatic system redesigns. Early internships at Microsoft and NASA demonstrate a strong foundation in backend systems and embedded ground tools, including an open-source Java ground system (JCAT) for spacecraft prototyping. Joe combines rigorous CS training from UIUC with a track record of shipping production features under tight deadlines and translating research-grade models into efficient, production-ready services.
12 years of coding experience
4 years of employment as a software developer
University of Illinois Urbana-Champaign
High School Diploma, 3.94 / 4.00, High School Diploma, 3.94 / 4.00 at Deerfield High School
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