Larissa Passos
Summary
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SeniorLarissa Passos is a Staff Software Engineer with 10 years of experience building mobile SDKs and privacy-preserving location technology, currently helping scale Incognia’s on-device, network-signal based location platform used for authentication and fraud detection. With a strong academic foundation in computer science and physics (top grades at UFPE and Columbia) she blends rigorous mathematical reasoning and research experience—ranging from Bayesian correlation work at Columbia to MATLAB-based facial recognition and seismic signal projects—with hands-on product engineering. Her career began in mobile SDK development at In Loco and evolved into leadership and systems design for high-precision, privacy-first location intelligence. She pairs technical depth in algorithms and data management with practical experience deploying privacy-safe solutions in production, and has a track record of teaching and mentoring in university settings. An under-the-radar strength is her background in zero-knowledge transparency tools and privacy-aware analytics, which informs her approach to building anonymized identity and fraud systems.
10 years of coding experience
Github Skills (3)
android-sdk10
shell4
zsh3
Programming languages (5)
Github contributions (5)
larissanpa/prezto
Oct 2019 - Mar 2026
The configuration framework for Zsh
Contributions:3 PRs, 30 pushes in 6 years 6 months
shellconfiguration-frameworkzsh-pluginzsh
inloco/incognia-spm
Nov 2021 - Jan 2026
Contributions:27 reviews, 2 PRs, 1 push in 4 years 3 months
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