Summary
Brandon Schoenfeld is an Autonomous Systems and AI Engineer with nine years of experience building production-ready intelligent systems and AutoML infrastructure. At PassiveLogic he applies autonomy and ML to real-world control problems, and previously led a DARPA D3M evaluation effort at BYU that produced open-source, fully reproducible experimentation tooling and accelerated evaluation turnaround by 95%. He has hands-on experience across the ML lifecycle—from prototyping time-series deep learning on AWS to training PyTorch metalearning models on GPU clusters that cut test loss substantially. Brandon pairs strong academic credentials (MS in Computer Science, 3.98 GPA) with practical full-stack and DevOps skills, enabling teams to move research into reliable deployments. A practical problem-solver, he is as comfortable optimizing model performance as he is designing reproducible pipelines and managing small engineering teams.
9 years of coding experience
6 years of employment as a software developer
Master of Science, Computer Science, 3.98, Master of Science, Computer Science, 3.98 at Brigham Young University
English, Spanish