Incoming CS PhD @ USM
Cloud Engineering · Reliability · Observability
My work centers on cloud engineering and infrastructure across public cloud providers (AWS, Google Cloud Platform, and Azure). I design and operate platforms using IaC, automated CI/CD, managed services, and cloud-native patterns to deliver reliable, scalable systems while optimizing for cost and operational simplicity.
I build in public and in production. Tracevox is an open-source observability stack I contributed to—tracing, cost analytics, and incident workflows that integrate with cloud provider telemetry and managed services. I emphasize architectures and runbooks teams can run: clear APIs, measurable SLOs, and repeatable operational playbooks.
Education
- University of Southern Mississippi — Ph.D. Computer Science (incoming)
- University of Colorado Boulder — M.S. Computer Science
- Georgia State University — M.S. Geosciences
- University of Ibadan — B.S. Geology
Research direction
Build and evaluate patterns and tooling so cloud-native systems resist failure, degrade gracefully, and remain observable—without treating reliability as an afterthought. I want my PhD to produce measurable, deployable ideas at the intersection of distributed systems, SRE, and developer experience.