Phil Ammirato is a Senior Applied Scientist with 26 years of engineering experience, currently building production ML and applied-science solutions at Samsara in San Jose. He blends deep research credentials—a PhD and MS from UNC Chapel Hill—with hands-on systems and DevOps expertise, having contributed to projects from kernel USB quirks to infrastructure automation in Chef and Meta's client tooling. His background spans computer vision research roles at Vicarious and internships at NVIDIA, plus a sustained open-source footprint across widely used tools like chef, ohai, markdownlint, and hub. Phil is comfortable moving models into robust, observable platforms and has a track record of pragmatic fixes and tooling improvements that keep fleets reliable at scale. Notably, he pairs low-level embedded/kernel work with high-level scientific modeling—an unusual combination that helps bridge prototype research and production readiness. Outside work he’s an open-source developer and Metallica super-fan, a detail that hints at his long-term focus and intensity.
26 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of North Carolina at Chapel Hill
Back-end Developer & QA Engineer / Test Automation Engineer
Contributions:101 reviews, 41 commits, 153 PRs in 4 years 7 months
Contributions summary:Phil primarily focused on improving the markdownlint tool's functionality and reliability. They implemented new features such as a JSON formatter and sublist style support. They also added and enhanced tests, including tests for JSON output and unprintable characters. Further contributions involved fixing bugs, handling nested code blocks, and refactoring code.
Contributions:133 reviews, 66 commits, 91 PRs in 7 years 2 months
Contributions summary:Phil contributed to the Ohai project, focusing on enhancing and maintaining the system and filesystem plugins. They implemented a shard plugin for system profiling, addressing a specific sharding use-case. Furthermore, the user refactored and improved the filesystem and mdadm plugins. The user also worked on implementing critical plugins configuration, making ohai more robust.
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Phil Ammirato - Senior Applied Scientist at Samsara