Summary
John Swingle is a software engineer with six years of experience building and optimizing machine learning and cloud systems, currently working at Google while also holding an engineering role at Lucid Software. He delivered measurable impact at Amazon by porting a PyTorch BERT model to Inferentia, achieving 60% lower cost, faster latency, and 4x throughput. A BYU computer science student focused on data science, he pairs academic grounding and hands-on tutoring experience with practical teaching and mentoring skills. Based in the San Francisco Bay Area, he combines ML deployment chops with full-stack engineering instincts and a knack for squeezing efficiency out of production systems.
6 years of coding experience
Bachelor of Science - BS, Computer Science Emphasis Data Science, 3.94, Bachelor of Science - BS, Computer Science Emphasis Data Science, 3.94 at Brigham Young University