Summary
Larissa 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
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, 3.94/4.0, Bachelor of Science (B.Sc.), Computer Science, 3.94/4.0 at Universidade Federal de Pernambuco
Computer Science, 4.02/4.33, Computer Science, 4.02/4.33 at Columbia University in the City of New York
Portuguese, English, French, German, Spanish