Robert Blankenship is a Staff Software Engineer based in Redmond with 11 years of experience building backend systems in Python, Scala, and Java, and a decade-plus focus on cybersecurity analytics. He’s driven production ML integrations and platform reliability at Exabeam—leading cross-team projects for an ML engine and multi-tenant cloud microservices using Kubernetes, Kafka, and GCP. Robert combines hands-on backend development with strong CI/CD, test automation, and observability practices to keep complex distributed services maintainable and operable. He’s comfortable across DevOps and platform engineering roles, having implemented on-prem and cloud solutions involving MongoDB, Elasticsearch, Ansible, and systemd. Trained in physics and molecular neuroscience at UC Berkeley, he brings a quantitative, systems-thinking approach that helps bridge data science models and production engineering. Colleagues rely on him for technical alignment and pragmatic delivery when integrating ML components into security products.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at University of California, Berkeley
A tetris derivative written in Rust using the Piston and specs libraries.
Contributions:5 PRs, 4 pushes, 5 branches in 2 years 1 month
rustpistonderivativespecs
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Robert Blankenship - Staff Software Engineer at Radiant Security