Connor Moody is a Software Engineer with six years of experience building scalable systems for major tech products, currently working on data infrastructure at Google that processes user interaction signals from billions of queries daily. He has a strong background in backend and platform engineering from roles at Microsoft—where he modernized content management microservices and improved PWA support in the Edge browser—and early experience building web apps on SharePoint and performance-critical C/C++ drivers. Connor blends systems thinking with front-end chops, having contributed React/Redux tooling and developer-tools features including accessibility and remote debugging. He consistently focuses on performance, reliability, and extensibility, exemplified by redesigning critical processes and optimizing streaming drivers to increase throughput. Based in Atlanta and holding a Computer Engineering degree from BYU with a 3.84 GPA, he brings both rigorous engineering discipline and practical product-facing impact. A subtle throughline in his career is shipping cross-cutting infrastructure that directly enables ML research and product features at scale.
6 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Engineering, 3.84, Bachelor's degree, Computer Engineering, 3.84 at Brigham Young University
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