Summary
Jade Tabony is a Manager of Machine Learning Infrastructure in Seattle with a decade of experience applying statistics, ML, and software engineering to cybersecurity and environmental health problems. She progressed from environmental risk assessment and biostatistics to building production ML services and data warehouses at ExtraHop, where she led AWS-based ETL, monitoring, and detection development efforts. Her background in NLP, multiclass ensembles, recommender systems and OCR fuels practical solutions—from a Washington hike recommender to threat detectors—and she pairs hands-on coding with product-facing work like ML health APIs and Quicksight dashboards. Unusually for an ML infrastructure lead, she brings deep regulatory and toxicology experience from earlier roles, which sharpens her risk-aware approach to model design and validation.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree Environmental Health, Master’s Degree Environmental Health at Boston University School of Public Health
B.S. Interdisciplinary Studies Nutrition Environmental Biology Business, B.S. Interdisciplinary Studies Nutrition Environmental Biology Business at Cornell University
English, Spanish