Xavier Cadet
Postdoctoral Researcher at Dartmouth College
United States
Summary
🤩
Rockstar🎓
Top SchoolXavier Cadet is a postdoctoral researcher and software engineer with six years of experience at the intersection of AI, machine learning, and high-performance graph analytics. Currently at Dartmouth after a PhD track at Imperial College London, he combines rigorous academic research with hands-on contributions to production-grade open-source projects. Notably, he has modified core Single Source Shortest Path implementations in NVIDIA RAPIDS' cuGraph, migrating data structures to GraphCSR and improving SSSP kernels and tests—work that impacts large-scale GPU graph processing. His background includes internships at NVIDIA and Nokia Bell Labs and research roles in ML labs, reflecting fluency in both research and systems engineering. Xavier brings a pragmatic focus on scalable algorithmic implementation and reproducible testing, plus an ability to translate research prototypes into optimized backend code. Colleagues can expect a researcher-engineer who pairs deep theoretical grounding with practical GPU and backend development experience.
6 years of coding experience
3 years of employment as a software developer
Ph.D. Student, AI and Machine Learning, Ph.D. Student, AI and Machine Learning at Imperial College LondonEngineer's degree, Computer Science, Engineer's degree, Computer Science at EPITA: Ecole d'Ingénieur en InformatiqueAcademic Exchange, Computer Science, Academic Exchange, Computer Science at Boston University
English, French, German
Github Skills (6)
cuda10
graph10
graph-algorithms10
c-language10
cprogramming-language10
csr10
Programming languages (2)
Github contributions (2)
rapidsai/cugraph
Mar 2020 - Aug 2020
cuGraph - RAPIDS Graph Analytics Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 169 commits, 9 PRs in 4 months
Contributions summary:Xavier's commits primarily involve modifications to the Single Source Shortest Path (SSSP) algorithm within the cuGraph library. They replaced the `Graph` data structure with `GraphCSR` within the SSSP and related kernels, and moved the SSSP implementation to `algorithms.hpp`. Code changes involved modifications and additions to testing frameworks for SSSP and the implementation details within the `traversal` directory.
cudagraph-analysisanalyticsgraph-analyticsgraphml
xcadet/cugraph
Feb 2020 - Aug 2020
cuGraph - RAPIDS Graph Analytics Library
Contributions:5 PRs, 127 pushes, 16 branches in 6 months
analyticsgraph-analyticsanalytics-librarygraphrapids
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