Summary
Pablo Garay is an Automation Lead Software Engineer with a decade of experience building scalable CI/CD, automation, and ML infrastructure at NVIDIA after senior engineering roles at Google, Microsoft, Visa, and DocuSign. He architected NeMo’s CI systems and DGX Cloud deployments, cutting test runtimes by ~90% and managing tens of thousands of GPU hours while also owning security and telemetry for large-scale deep learning workflows. Pablo blends backend engineering, cloud orchestration, and performance testing—shipping end-to-end automation for frameworks used by enterprise partners across AWS, GCP, and specialized platforms. A self-taught lifelong learner and teacher, he has a strong pedigree in big data, DevOps, and production reliability, with hands-on experience improving CI pass rates from 24% to 90% at Google. Based in Palo Alto, he pairs technical leadership with community engagement (top 14% on StackOverflow) and a personal passion for sports and volunteer work.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Southern California
Member of the Opportunity Funds Program English and Mathematics, Member of the Opportunity Funds Program English and Mathematics at EducationUSA, US Embassy
Sagrado Corazón de Jesús "Salesianito"
Bachelor’s Degree (Master's equivalent program) Computer Science, Bachelor’s Degree (Master's equivalent program) Computer Science at Universidad Católica Nuestra Señora de la Asunción
English, Spanish, Gujarati, Italian