Summary
Sebastian Perez is a Machine Learning Engineer with a decade of experience building production-grade systems at scale, currently applied to ML work at Meta after multi-year ML and software roles at Google. He has deep full-stack and infrastructure chops—from early work on Google's Transfer Appliance to designing data-quality model pipelines for Google Maps—plus hands-on experience deploying vision models in a startup setting. Sebastian combines performance-minded backend engineering (Java, containerized microservices) with practical ML model development and serving, having moved systems from research prototypes to Docker/Flask APIs in production. Based in Bellingham, WA, he brings a pragmatic focus on reliability, security, and usability and a background in static analysis research that underscores an attention to correctness beyond typical ML engineering.
10 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Northwestern University
English, Spanish