Daniele D'orazio
Software Developer at Develer S.r.l.
Florence, Tuscany, Italy
Summary
👤
Senior🎓
Top SchoolDaniele D'orazio is a software developer based in Florence with 11 years of experience building everything from CNC machine vision and motion-planning software to scalable Python microservices and WebAssembly-powered 3D web CAD. Passionate about Free and Open Source Software, he contributes to notable Rust projects such as image-rs and clippy, improving code quality, lints and performance-critical paths, and has optimized CLI tooling like pastel. Comfortable across systems-level C, Rust and firmware work as well as TypeScript/React frontends, he brings a pragmatic full-stack mindset informed by type theory and language design interests. At Develer he has delivered end-to-end solutions—embedded firmware, tooling to migrate SVN to Git with robust externals handling, and production web services—demonstrating both low-level rigor and product-focused engineering. Colleagues value his attention to code quality, automated testing and incremental performance gains that often reveal subtle design improvements.
11 years of coding experience
1 year of employment as a software developer
Diploma Istituto Tecnico, 100/100, Diploma Istituto Tecnico, 100/100 at ISIS Leonardo da Vinci Firenze
Italian, English
Github Skills (20)
algorithm10
code-optimization10
algorithms10
deco10
testing10
data-structure10
lint10
command-line10
data-structures10
linting10
rust10
cli10
webp9
decoder8
image-decoder8
Programming languages (11)
Github contributions (5)
image-rs/image
Apr 2018 - May 2018
Encoding and decoding images in Rust
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits, 2 PRs, 6 comments in 22 days
Contributions summary:Daniele primarily focused on code formatting and fixing compiler warnings. They addressed formatting issues across multiple files, including those related to the BMP, HDR, and JPEG decoders. Additionally, the user corrected various clippy warnings within the webp module, demonstrating a focus on code quality and adherence to style guidelines.
decodingdecoding-imagesrustencodingpixel
rust-lang/rust-clippy
Oct 2016 - Jun 2019
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
Back-end DeveloperContributions:7 PRs, 4 comments in 2 years 8 months
Contributions summary:Daniele primarily contributes to improving the Clippy linter for the Rust programming language. They focused on enhancing existing lints, such as those related to redundant pattern matching in `if let` statements and improving suggestions for code optimization. The user also introduced new lints, specifically targeting situations like redundant pattern matching, and addressed issues in the existing codebase, suggesting improvements to the code's overall efficiency and clarity. Their work demonstrates a strong understanding of Rust and linting practices.
linterlintrustlangmistakes
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