Chris Barrick is a Senior Software Engineer with 12 years of experience building cloud-native AI infrastructure and SRE tooling, currently focused on capacity management for GPUs and TPUs in Google Cloud's Vertex AI. He blends hands-on ops and on-call experience across Conversational AI products with a deep interest in programming languages—seen in practical work with Rust and Prolog and semantic front-end improvements to the popular Jekyll poole theme. Comfortable across systems from ML model deployment, canary rollouts and versioning to Kubernetes-scale services, he also designs data pipelines and REST/CLI APIs from his research on solar irradiance prediction. Based in Pittsburgh, he mentors interns frequently and brings an unusual combination of AI research grounding and production reliability engineering to large-scale ML platforms.
12 years of coding experience
8 years of employment as a software developer
University of Georgia
High School Diploma, High School Diploma at Rabun Gap Nacoochee School
The Jekyll Butler. A no frills responsive Jekyll blog theme.
Role in this project:
Front-end Developer
Contributions:5 commits in 8 days
Contributions summary:Chris primarily focused on improving the semantic HTML structure and visual presentation of the Jekyll blog theme. They updated various layout files to incorporate HTML5 semantic elements such as `<article>`, `<aside>`, `<header>`, `<main>`, and `<footer>`. Furthermore, the user standardized the use of `<time>` elements for dates and implemented the use of `<small>` for copyright information, reflecting attention to semantic correctness. These updates demonstrate a focus on enhancing the overall structure and accessibility of the theme.
Contributions:420 commits, 220 pushes, 2 branches in 9 years 2 months
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Chris Barrick - Senior Software Engineer at Google