Summary
Andrej Galád is a software engineer with 13 years of experience building scalable, production-grade systems across cloud and enterprise environments, currently at Google in San Francisco. His background spans distributed systems, JVM-based microservices, and pre-production tooling—work that includes designing schema and deployment pipelines, Kubernetes-deployed Spring Boot services, and throughput optimizations via pre-emptive termination of stale stacks. He has strong full-stack and backend chops from prior roles at Salesforce, NetSuite, and Bloomberg, plus research experience implementing big-data benchmarks and ArchiveSpark extensions on AWS and OpenStack. A high-achieving graduate (MS 3.97) with roots in rigorous academic and open infrastructure work, he combines practical engineering with careful performance tuning and observability. Notably, he’s comfortable moving between low-level performance optimizations and higher-level orchestration tooling, a skill that helps bridge developer workflows and production reliability.
13 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Informatics, Grade Average: 1.18 (A = 1.00, B = 1.50, C = 2.00 …), Bachelor's degree, Informatics, Grade Average: 1.18 (A = 1.00, B = 1.50, C = 2.00 …) at Masaryk University Brno
Master's degree, Computer Science & Applications, 3.97, Master's degree, Computer Science & Applications, 3.97 at Virginia Tech
Slovak, English, Czech, French, Spanish