Summary
Samantha Miller is a software engineer at Databricks with a decade of experience building systems-level and distributed software. She completed a PhD in computer science at the University of Washington focused on making Linux kernel development safer and faster by enabling safe Rust modules, userspace debugging, and transparent module reloading. Her research produced a Best Paper at FAST '21 for a competitive kernel filesystem (Bento) and an upcoming Eurosys 2024 paper (Enoki) that extends these ideas to scheduler coordination and record-and-replay debugging. Samantha has four consecutive Google internships across networking, GCE kernel work, ChromeOS tooling, and Cloud Dataflow, where she shipped Rust tooling and production optimizations. She mentors undergraduates and has guided thesis work that contributed to award-winning research, demonstrating a blend of hands-on engineering, practical performance tuning, and research mentorship. Based in Washington, she brings a rare combination of production-grade distributed systems experience and deep OS research expertise.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Washington
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at The University of Texas at Austin