Summary
Agata Kargol is a Senior Software Engineer and Technical Co-Lead specializing in large-scale batch compute and ML infrastructure with 11 years of experience building production systems for satellite imagery and geospatial analytics. Based in Seattle, she has led architecture and refactoring efforts at Planet to scale batch engines by orders of magnitude, improve observability, and increase resilience while also owning multiple compute platforms that power the company’s data delivery. Her background spans deep learning training pipelines, Kubeflow, RESTful APIs, robotics, and computer vision—skills honed in both industry and academic research on massive image archives. She’s as comfortable shipping backend services and ETL pipelines as coordinating cross-team cloud migrations, and she brings a practical focus on testability and operational visibility to complex distributed workloads. An often-overlooked strength is her experience enabling non-technical users to leverage ML via internal MVPs, bridging product needs and infrastructure capability.
11 years of coding experience
11 years of employment as a software developer
UNSW Sydney
Master's Degree, Computer Science, Computer Vision, Master's Degree, Computer Science, Computer Vision at Washington University in St. Louis
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at The University of Alabama
English, Polish, Polish