Kristof Mattei is a Senior Software Engineer based in Phoenix with 14–15 years of experience building performant, production-grade systems across Rust, Python, TypeScript, and cloud-native stacks. He has a track record of turning ambiguous, high-impact problems into reliable solutions—cutting onboarding from two weeks to one hour, saving over $1M in hosting costs, and accelerating data deployment by up to 60% at McKinsey. Comfortable across backend, ETL, and infra, he has optimized video pipelines with low-level C/Rust integrations and improved database performance in open-source projects like LibrePhotos. An active contributor to rust-clippy, he focuses on correctness and efficiency, often hunting down subtle "ghost-in-the-machine" bugs and serving as the go-to troubleshooter for critical triages. He pairs deep technical craftsmanship with mentoring and process improvements that scale teams as well as systems.
14 years of coding experience
11 years of employment as a software developer
Internship Computer Science, Internship Computer Science at Washburn University
Bachelor Computer Science, Bachelor Computer Science at Hogeschool PXL
A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
Role in this project:
Back-end Developer
Contributions:3 reviews, 1 PR, 7 comments in 1 year 11 months
Contributions summary:Kristof primarily contributed to the `clippy-lints` project, focusing on bug fixes and improvements related to crate version handling within the Rust code. Their work involved modifying code to address issues like incorrect name comparisons, allocation inefficiencies, and handling of ASCII values in crate names. The user also added comments to explain the reasoning behind specific code changes.
A self-hosted open source photo management service. This is the repository of the backend.
Role in this project:
Back-end Developer
Contributions:6 commits, 3 PRs, 2 comments in 1 day
Contributions summary:Kristof focused on optimizing database queries and improving the performance of the backend service. They refactored several SQL queries to use more efficient methods such as `geolocation_json` and extracted path functions. The user also updated the location timeline query to match original output and used text functions to prevent double quoting, demonstrating a strong understanding of the project's data models and SQL optimization. These changes directly improved the efficiency and clarity of the codebase.
selfhostedpythonexifdjangohosted
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Kristof Mattei - Senior Software Engineer at Mezmo