Summary
Aaron Kimble is a Staff Software Developer and Data Engineer with eight years of experience applying big-data and sensor-driven analytics to Level 4 automated driving and prior deep expertise in photogrammetry and geospatial workflows. Based in Boulder, he designs and ships scalable Spark/Hadoop pipelines and test-evaluation scripts that validate perception and sensor-fusion stacks using camera, LiDAR, radar and other modalities for an automotive series-production program. His background in high-resolution aerial imagery, DEMs and aerial triangulation gives him a rare end-to-end view of both precise spatial data production and downstream machine-learning validation. Comfortable in agile, distributed teams and cross-company partnerships, he shapes KPIs, facilitates technical negotiations, and pushes R&D for performance improvements. He blends C++, Python and computer-vision know-how to turn massive vehicle test datasets into actionable insights that tighten functional safety and perception performance. Colleagues rely on him for pragmatic, data-driven solutions that bridge mapping, autonomy and earth-observation domains.
9 years of coding experience
12 years of employment as a software developer
Nanodegree Program, Intro to Self-Driving Cars, Nanodegree Program, Intro to Self-Driving Cars at Udacity
Data Science Immersive, Data Science Immersive at Galvanize Inc
Bachelor of Science - BS, Geographic Information Systems & Spatial Analysis, Bachelor of Science - BS, Geographic Information Systems & Spatial Analysis at The Ohio State University