Ehsan Etesami is a Lead Cloud Engineer with 11 years of experience designing hybrid multi-cloud and Kubernetes-driven platforms that prioritize GPU-enabled workloads for accelerated model training and inference. He combines hands-on systems engineering in Golang and Python with GitOps CI/CD practices to automate multi-site cluster lifecycles and improve workload portability across on-prem and public clouds. His academic background and roles at the University of Toronto reflect deep research-to-production expertise in hybrid edge multi-cloud automation and large-scale Kubernetes testbeds. Now at RBC, he applies that research-informed perspective to enterprise cloud platforms, bridging rigorous network architecture with practical developer workflows. Notably, he has a track record of building tooling and automation that make GPU scheduling and cross-cloud reproducibility first-class concerns rather than afterthoughts.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of Toronto
Bachelor of Science (BS), Information Technology, Bachelor of Science (BS), Information Technology at Isfahan University of Technology
Master of Science (MSc), Information Technology, Master of Science (MSc), Information Technology at Sharif University of Technology
Contributions:90 pushes, 1 branch in 4 years 9 months
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Ehsan Etesami - Research Assistant at University of Toronto