Summary
Trung Le is a software engineer based in Seattle who combines a strong interdisciplinary academic background in economics, computer science, and statistics with three years of hands-on experience in machine learning and data infrastructure. Currently at Meta working on data infrastructure, he previously led ML pipeline development for construction cost prediction and contributed research-grade deep learning work on detecting cannabis-impaired driving using time-series architectures like InceptionTime and MINIROCKET. He has mentored students in R, Stata, Python and helped run workshops in Python and machine learning, demonstrating a knack for translating technical concepts into practical learning. Known on GitHub as an "ai engineer," he brings both production-minded engineering and research curiosity to problems that sit at the intersection of data, models, and systems. An unexpected strength is his ability to move from explainable model techniques (dimension-CAM) to scalable pipelines, making him effective across the ML lifecycle.
3 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Economics, Computer Science & Statistics, 3.9, Bachelor's degree, Economics, Computer Science & Statistics, 3.9 at Grinnell College
High School Diploma, English, High School Diploma, English at Quốc Học – Huế High School for the Gifted
Vietnamese, English