Summary
Gabriel Soto is an embedded software engineer with nine years of hands-on experience blending low-level C firmware development and machine learning research. He has built real-time STM32 driver stacks and RTOS task scheduling for multi-board servo and sensor control, and more recently applied PyTorch and Topological Data Analysis to real-world signal problems at the Air Force Research Laboratory. Comfortable across on-site, hybrid, and remote environments, Gabriel pairs practical production skills with research rigor—he’s used MATLAB, Python preprocessing pipelines, and HPC resources to optimize model runtimes. His background in high-pressure hospitality roles also informs his teamwork, communication, and operational discipline. Actively pursuing work at the intersection of embedded systems and ML, he brings a pragmatic, experiment-driven approach to turning signal-data insights into reliable embedded solutions.
9 years of coding experience
1 year of employment as a software developer
Cal Poly Pomona