Summary
Swebert Correa is a GPU-savvy software engineer and graduate student at Georgia Tech with eight years of experience building production-grade storage systems, distributed services, and ML-enabled kernels in CUDA. He moved from core storage engineering at Robin.io—where he designed erasure coding, resync/rebuild logic, cluster management, and server-side encryption—to research and teaching roles focused on advanced databases, scheduling for TokenSmith, and data layers for supercomputing systems. Comfortable across the stack, he has shipped cloud-native diagnostics and storage subsystems integrated with Kubernetes while also teaching NLP and advanced database implementation courses. His background blends hands-on systems programming with applied research on large-scale data fabrics and a proven ability to take subsystems from design to resilient deployment.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor of Technology - BTech, Computer Engineering, Bachelor of Technology - BTech, Computer Engineering at COEP Technological University
Higher Secondary School Certificate, Science, Higher Secondary School Certificate, Science at Pace Junior Science College
Central Board of Secondary Education, Central Board of Secondary Education at New Horizon Scholars School - India