Jeremy Schaub is a Cloud Architect with a rare blend of deep research pedigree and hands-on cloud engineering, bringing 11+ years of experience building production AI services, distributed systems, and infrastructure-as-code for enterprises. After 17 years at IBM Research producing over 100 publications and patents in high-performance computing, circuit design, and optical interconnects, he transitioned to architecting scalable Python microservices and Kubernetes platforms for AI at State Street and now O.C. Tanner. He excels at translating research-grade performance engineering into pragmatic, automated cloud deployments—scaling document conversion and AI pipelines by 50x using Kafka, Kubernetes, and robust testing practices. Recently certified across AWS professional tracks, he pairs formal training in distributed systems with a hands-on passion for infrastructure-as-code and self-service platforms. Outside work he pursues serious alpine objectives—recently completing the Grand Teton upper Exum route—reflecting a talent for meticulous planning and risk-managed execution.
11 years of coding experience
3 years of employment as a software developer
PhD, Electrical & Computer Engineering, PhD, Electrical & Computer Engineering at The University of Texas at Austin
BS, Engineering Science, BS, Engineering Science at Trinity University
Contributions:276 commits, 267 pushes, 3 branches in 1 year 6 months
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