Summary
Mason Smith is a seasoned software engineer with 16 years of experience building high-performance systems, from multivariable optimization and research tools to low-latency trading platforms and data visualization. Comfortable across C++, Java, MATLAB and Common Lisp, he blends strong analytical foundations in statistics and machine learning with a practical focus on clear, efficient code. His background includes academic and industry roles—from UCLA numerical library work and an AT&T research internship to long-term engineering at a private firm—plus governance experience on boards at Caltech and Trickle Up. Based in Irvine, CA, he favors learning new technologies to keep his toolset sharp and to zero in on the most salient parts of a problem, a habit reflected in both production systems and research-oriented projects.
16 years of coding experience
Computer Science, Computer Science at University of California, Berkeley
California Institute of Technology
High School, High School at Indiana Academy for Science, Mathematics, & Humanities