Andrea Nardi
PHD Candidate Electronic Systems
's-Hertogenbosch, North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolAndrea Nardi is a PhD candidate in Electronic Systems with nine years of hands-on experience bridging research, data science, and software engineering across academia and industry in the Netherlands. Trained in computer science and data engineering at TU Delft and Maastricht, he has applied theory of computation interests to practical systems, from data-science roles at Philips and PHENOSPEX to software engineering at Fusion Engineering. Andrea contributes to notable open-source projects such as gfx-rs/wgpu, where he implemented and debugged core backend features like SPIR-V module loading and builder-pattern integrations for a safe, cross-platform Rust graphics API. Comfortable working at the intersection of low-level systems and applied data work, he combines rigorous academic pursuit with production-grade code contributions and systems integration experience.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Data Science and Knowledge Engineering, Bachelor of Science - BS, Data Science and Knowledge Engineering at Maastricht UniversityHigh School Diploma, Scientific, High School Diploma, Scientific at Liceo Scientifico Galileo GalileiTU Delft
Github Skills (7)
vulkan10
rust10
gpu10
opengl9
webgpu8
metal6
direct3d6
Programming languages (13)
Github contributions (5)
gfx-rs/wgpu
Jul 2020 - Jul 2020
A cross-platform, safe, pure-Rust graphics API.
Role in this project:
Backend Developer
Backend DeveloperContributions:6 commits, 4 PRs, 16 comments in 11 days
Contributions summary:Andrea primarily contributed to the core functionality of the wgpu library. Their commits involved implementing and debugging critical components such as SPIR-V module loading, implementing debug features, and integrating builder patterns to improve code clarity. The user also implemented changes to enhance the backend integration of the code. These changes involved updating core files in the project.
apimetalwebgpu-apigpurust
Andful/stream-fork
Jun 2023 - Sep 2024
Multi-core HW accelerator mapping optimization framework for layer-fused ML workloads.
Contributions:2 PRs, 16 pushes, 9 branches in 1 year 2 months
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