Brady Lowe is a consultant and former technical lead with a decade of experience applying physics, machine learning, and software engineering to large-scale spatial problems. He led the development of a LiDAR-driven analytics platform that processed point clouds from 400+ facilities worldwide, directly supporting Lineage Logistics’ IPO and enabling measurable operational insights like usable storage and pallet counts. Trained as a physicist, Brady combines hands-on detector and data-acquisition experience with production ML for autonomous object detection and digital warehouse twins. He grows teams and products end-to-end—from R&D through global delivery—and spends spare time building websites and AI tools, publishing work on GitHub and YouTube. Based in Pocatello, Idaho, he’s motivated by practical impact and collaborative learning, often turning complex sensor data into actionable business value.
10 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Physics, 3.51, Master of Science - MS, Physics, 3.51 at Idaho State University
A collection of code for fitting low-light PMT data to measure the PMT gain.
Contributions:4 PRs, 60 pushes, 5 branches in 8 months
lightmachine-learningfittingpmtmeasure
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