Summary
Laura Gabrysiak is a VP of AI and Data Strategy with a decade of experience turning payments, loyalty, and product telemetry into actionable, revenue-driving intelligence. She has led MLOps and data engineering at Visa—building production-grade ML lifecycle, automated monitoring frameworks, and dashboards—and now shapes AI strategy at gennius xyz. Her background blends computational linguistics, design-thinking UX, and practical data engineering, enabling her to bridge research, visualization, and scalable production systems. She has driven multi-million dollar client solutions, cut processing times by 75% through Spark/Hadoop migrations, and boosted analytics adoption with usage-tracking tooling. A hands-on practitioner fluent in R, Python, PySpark and Tableau, she’s equally comfortable mentoring teams and presenting at industry events. Based in Miami, she combines a research pedigree with product-minded delivery and a knack for extracting business value from underused payments and loyalty datasets.
10 years of coding experience
9 years of employment as a software developer
Study abroad (Erasmus Program), Computational Linguistics, Study abroad (Erasmus Program), Computational Linguistics at Università di Trento
Master’s Degree, Information Systems, Master’s Degree, Information Systems at Humboldt-Universität zu Berlin
Bachelor’s Degree, Computational Linguistics, Bachelor’s Degree, Computational Linguistics at University of Potsdam
Master's degree, Design Thinking / UX, Master's degree, Design Thinking / UX at Hasso Plattner Institute
Data Science, Data Science at MIT Professional Education
Spanish, English, German, Italian, Portuguese