Summary
Eric Ahlgren is a data scientist in San Francisco with 11 years of experience applying statistical analysis, automation, and spatial thinking to computer vision and sensor-based products. At Apple he has built large-scale image data pipelines, designed robotics-driven ML data collection tools, and improved data curation throughput by up to 70% through bespoke iOS/macOS apps and Python tooling. His background in GIS and a perfect academic record (MCS Data Science, UC Santa Barbara BA with Highest Honors) gives him a unique edge in spatial data, experimental design, and productionizing CV training datasets. He excels at cross-functional collaboration—translating stakeholder needs into studies and visualizations that uncover algorithmic risk—and often pairs hands-on engineering with statistical failure analysis. Notably, he bridges fieldwork and product engineering, having moved from GIS research and county planning internships into mission-critical ML tooling at scale.
11 years of coding experience
6 years of employment as a software developer
Master of Computer Science, Data Science, 4.0/4.0, Master of Computer Science, Data Science, 4.0/4.0 at University of Illinois Urbana-Champaign
Bachelor of Arts - BA, Geography with GIS Emphasis, Earth Science Minor, Highest Honors, Degree GPA = 4.0, 3.92/4.0, Bachelor of Arts - BA, Geography with GIS Emphasis, Earth Science Minor, Highest Honors, Degree GPA = 4.0, 3.92/4.0 at University of California, Santa Barbara
English