Bradley Rees
Sr Manager Of GPU-accelerated Graph Analytics For NVIDIA RAPIDS
Wesley Chapel, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolBradley Rees is a senior GPU-accelerated graph analytics leader with eight years at NVIDIA RAPIDS, steering the development of high-performance graph and data-frame libraries such as cuGraph and cuDF. He combines deep research roots (PhD-level work) with hands-on CUDA and backend engineering experience, improving IO, CSV parsing, and data ingestion for GPU data pipelines. Previously he led research and engineering teams applying HPC and distributed systems to real-world analytics at firms like Tetra Concepts, Novetta, and SAIC, including GPU-accelerated FFT and insider-threat detection efforts. An active open-source contributor, he prepares datasets and refactors core RAPIDS components, demonstrating both utility-focused tooling and codebase stewardship. Based in Wesley Chapel, FL, he blends computational social science and multi-agent system interests with pragmatic production engineering. Colleagues rely on him to translate complex graph science into robust, scalable GPU software for big-data environments.
8 years of coding experience
15 years of employment as a software developer
B.S., Electronic Engineering, B.S., Electronic Engineering at Capitol Technology UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Florida Institute of TechnologyMS, Computer Science, MS, Computer Science at Loyola University Maryland
Stackoverflow
106reputation
8kreached
11answers
0questions
Github Skills (34)
git10
csv-parse10
c-language10
python10
signal-processing10
dataframes10
graph10
gpu-programming10
cudf10
bash10
dataframe10
data-preprocessing10
data-ingestion10
script10
csv-parsing10
Programming languages (7)
Github contributions (5)
rapidsai/cugraph
Dec 2018 - Jan 2023
cuGraph - RAPIDS Graph Analytics Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:725 reviews, 800 commits, 508 PRs in 4 years 2 months
Contributions summary:Bradley primarily focused on updating and modifying repository files, particularly those related to versioning and license headers within the codebase. The changes included the addition of license information to header files, the removal of commented-out or outdated code, and refactoring files. The user appears to have a good understanding of the repository structure, the role of the included files and general file maintenance.
cudagraph-analysisanalyticsgraph-analyticsgraphml
rapidsai-community/notebooks-contrib
Mar 2019 - Nov 2020
RAPIDS Community Notebooks
Role in this project:Data Engineer
Data EngineerContributions:2 reviews, 85 commits, 26 PRs in 1 year 8 months
Contributions summary:Bradley's contributions focus on preparing data for the RAPIDS cuGraph library, indicated by the creation of a data preparation script. The script downloads, extracts, and moves various graph datasets in the .mtx format into a data directory. This suggests a focus on data ingestion and pre-processing pipelines for benchmarking and analysis within the cuGraph environment.
jupyter-notebooknotebooksrapids
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