Staff Software Engineer with 10+ years of experience at Google delivering global-scale systems across identity, deep-fake detection, regulatory compliance, and ML quality.
TLM for a team of 5 direct reports that grew identity verification for businesses 20x, increasing automation from 0% to 85% and expanding regional coverage 30%. Architected and launched 5 new verification techniques, designing system boundaries between the platform, clients and 3P data sources. Built the team and defined technical strategy as founding TL.
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Set technical direction as project lead for the YouTube Likeness Detection launch to identify impersonator deep-fakes, overseeing execution for 20 person working group across 3 product areas with VP-level visibility.
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Technical partner lead across 3 SVP-level organizations (Ads, Play and YouTube), excelling in stakeholder management. Led responses to critical partner escalations, influenced cross-team roadmaps, and served as area expert, reviewing 200+ technical and product design documents annually.
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Payments lead for Google-wide compliance with Digital Services Act (DSA) verification regulation, architecting E2E design to support 1M+ Play and Chrome Webstore developers onboarding annually, adhering to strict product and regulatory requirements.
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Built and scaled high-performing team of 5 engineers, including 2 promotions and zero attrition.
Project lead for geolocating and deriving semantics of 10M+ street signs and traffic lights for use in consumer and enterprise Google Maps, meeting strict quality SLIs with 3P automobile manufacturers.
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Delivered by designing a semi-automated pipeline to combine ML with manual curation, along with continuous quality analyses and improvements. Achieved 94%/90% precision/recall with flat ops budget.
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Owner of high-performance C++ devtool used by 4 teams to run ML batch processing of billions of geo data signals, including satellite and Street View data, with support for black-box optimizations of data quality.
Designed scenario analysis tool for evaluating and visualizing risk measures of exotic credit derivatives. Delivered tool that became the supervising trader's primary means of portfolio analysis.
