Summary
David Huang is a software engineer with 11 years of experience blending machine learning, data science, and software engineering to turn complex problems into production-ready systems. With an MS in Computer Science from the University of Chicago and a BA in Physics from Vanderbilt, he has progressed from data analytics leadership roles to senior engineering at Latent AI and now at Meta. He combines strong analytical rigor—evident from coursework and projects in advanced algorithms, time-series, and multi-view learning—with hands-on experience shipping scalable ML and data solutions across enterprise and startup environments. A proven communicator and mentor, he has led cross-functional teams, built automation for analytics platforms, and driven migrations to distributed data lakes. Outside core duties he pursues computer vision and ML compilation work, reflecting a continual appetite for research-adjacent engineering challenges.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Vanderbilt University
Master's degree Computer Science, Master's degree Computer Science at University of Chicago
English, Chinese