Summary
Katya Potapov is a Senior Machine Learning Engineer with nine years of hands-on experience building secure, production-grade backend and data systems for cloud-native and disaster-risk applications. She helped design large-scale ingestion and security services at Datadog and now builds flood-risk data platforms at Floodbase using GCP, Python, Dask, and TypeScript to support disaster response and climate adaptation. Trained in HCI and cognitive science at Waterloo, she blends user-focused design with systems engineering—often translating research insights into prototypes and scalable services. Comfortable across security, backend, and ML domains, she has shipped high-throughput pipelines (millions of messages per hour) and automated policy enforcers for multi-cloud environments. Outside core engineering, she leads climate-focused community projects and studies policy as part of a Climate Action cohort, signaling a rare mix of technical depth and mission-driven impact.
9 years of coding experience
5 years of employment as a software developer
3B Exchange Term, Information Systems Technology and Design, 3B Exchange Term, Information Systems Technology and Design at Singapore University of Technology and Design (SUTD)
William Lyon Mackenzie Collegiate Institute
Honours Bachelor of Mathematics, Computer Science, Honours Bachelor of Mathematics, Computer Science at University of Waterloo