Summary
Jared Kibele is a data engineer with a PhD in Marine Science and 16 years of experience turning geospatial and remote-sensing research into production-grade software. He builds and automates Python-based pipelines for high-resolution bathymetry, aerial hyperspectral imagery, and lidar, bridging scientific rigor with pragmatic engineering practices. His background spans academia and industry—leading refactors that introduced self-describing data structures, developing automated plume detection with ML, and shipping operational workflows for NOAA and autonomous-mapping fleets. Based in Santa Barbara, he excels at translating cutting-edge methods from primary literature into robust, deployable systems and has a proven knack for simplifying complex ecological remote-sensing problems into reproducible, scalable code. An adventurous problem-solver, he once sailed from California to New Zealand, a detail that underscores his persistence and appetite for long, complex projects.
16 years of coding experience
12 years of employment as a software developer
Associate’s Degree, Marine Science and Technology, Associate’s Degree, Marine Science and Technology at Monterey Peninsula College
Doctor of Philosophy (PhD), Marine Sciences, Doctor of Philosophy (PhD), Marine Sciences at University of Auckland
University of California Santa Cruz