Summary
Samuel Meshoyrer is a software engineer with a decade of experience building high-performance systems across cloud infrastructure, trading, and research environments. He currently contributes to capacity planning and demand forecasting at Google after work on high-performance filesystems at AWS and algorithmic trading systems at Morgan Stanley and boutique trading firms. A Columbia CS MS and long-time TA, he blends strong academic foundations with practical production experience in distributed systems, low-latency services, and data-driven forecasting. Notably, his background spans both finance-grade trading engines and large-scale cloud capacity planning, giving him a rare perspective on performance, reliability, and demand modeling.
10 years of coding experience
4 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Columbia University
English, Russian