Daniel Wood is a pragmatic software engineer with 11 years of full-stack experience, currently building products at OpConnect after leading cloud and production efforts as a Senior Full Stack Engineer at EVgo. He excels at moving quickly from high-level feature lists to working prototypes, favoring hands-on learning and iterative improvement over lengthy design cycles. Comfortable across on-prem and AWS environments, he has improved reliability and developer velocity through test coverage, reduced complexity, and reusable components. Daniel contributes to notable open-source tooling—adding broad filetype support to the widely used ripgrep utility—demonstrating attention to practical developer workflows. Based in Oregon, he pursues continuous learning (including a Deep Learning nanodegree) and enjoys solving problems with creative, less-obvious solutions that accelerate teams.
11 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Neumont College of Computer Science
DeepLearning Nanodegree Computer Science, DeepLearning Nanodegree Computer Science at Udacity
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
Role in this project:
Backend Developer
Contributions:6 commits, 6 PRs, 13 comments in 27 days
Contributions summary:Daniel primarily focused on enhancing file type support within the `ripgrep` tool. They added several new file extensions to the `src/types.rs` and `ignore/src/types.rs` files, including `.config`, `.spark`, `.md`, `.pdf`, `.cs`, and `.mak`. This indicates a contribution towards expanding the search capabilities of `ripgrep` to cover a wider range of file types and use cases.
Contributions:16 PRs, 80 pushes, 5 branches in 1 year
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