Christian Gilbertson is a Senior Machine Learning Engineer with an Astrophysics PhD and eight years of experience building production AI systems, now based in San Francisco and currently at Block. He combines research-grade applied ML and scientific software engineering with hands-on DevOps—migrating on-prem LLMs, vector databases, and microservices to containerized OpenShift deployments to boost uptime from ~75% to >99%. Christian has led full-stack RAG assistant development serving 1,000+ users, automated CI/CD pipelines across Python, Rust, and TypeScript, and is a Certified ScrumMaster who drives team delivery and inner-sourced developer tooling. His background in astronomy produced substantial algorithmic speedups (300x for dynamical stability predictions) and precision gains in radial velocity measurements, bringing a data-driven, metric-focused approach to ML product sustainment. Notably, he blends deep domain research with pragmatic engineering—turning scientific papers and prototypes into reliable, monitored services at scale.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Penn State University
Giving an example for how one could use the GPLinearODEMaker.jl package to model RVs and stellar activity indicators
Contributions:2 reviews, 6 PRs, 95 pushes in 2 years 7 months
stellarindicatorsjulia
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Christian Gilbertson - Senior Machine Learning Engineer at Block