Summary
Gabriel Abrantes is a software engineer based in Seattle with nine years of experience building backend systems and deployment infrastructure, currently working on Google Compute Engine. He has a strong track record at enterprise-scale companies like Qualtrics, where he redesigned event-driven workflows, led CI/CD adoption, and improved API standards to boost capacity and release velocity. His background spans Java Spring Boot, AWS services, Spinnaker/Nomad, and large-scale on-call reliability for services handling millions of daily requests. Passionate about machine learning and web development, he also has hands-on experience optimizing CNNs for real-time embedded vision and improving throughput via multithreading and FP16. Gabriel combines rigorous academic training in computer science and mathematics from Vanderbilt with practical DevOps and ML optimizations, making him adept at turning research ideas into production-ready systems.
9 years of coding experience
5 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Bachelor of Science - BS Computer Science and Mathematics, Bachelor of Science - BS Computer Science and Mathematics at Vanderbilt University