Quentin Duval
Software Engineer
Montreal, Quebec, Canada
Summary
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RockstarQuentin Duval is a software engineer based in Montreal with 12 years of experience building reliable backend systems and infrastructure. He has a strong interest in functional programming and AI, and maintains a technical blog (deque.blog) that reflects his commitment to continuous learning. As a contributor to Facebook Research’s VISSL project, he improved build processes, added profiling/monitoring, and enabled flexible configuration and Slurm integration—work that helped scale self-supervised learning experiments. Quentin blends hands‑on DevOps and backend engineering, focusing on tooling, test quality, and repeatable builds. Colleagues know him for tackling thorny infrastructure problems and turning research-grade code into production-ready workflows.
12 years of coding experience
Github Skills (6)
pytorch10
python10
cicd10
unit-testing8
feature-extraction8
slurm8
Programming languages (5)
Github contributions (5)
facebookresearch/vissl
Jan 2021 - Dec 2022
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:57 reviews, 175 commits, 55 PRs in 1 year 11 months
Contributions summary:Quentin primarily focused on improving the build process and the infrastructure, as demonstrated in their commits. The user implemented changes to the Hydra plugin to allow for more flexible configuration loading and enabled the use of Slurm configurations. Furthermore, the user worked on the implementation of the profiling and monitoring, as well as adding new benchmarks, improving the test suite, and upgrading build tools. The user also addressed various code issues.
pytorchscalablesupervised-learningvision-transformersupervised
QuentinDuval/tictactoe
Dec 2016 - Mar 2017
Contributions:166 commits, 99 pushes, 2 branches in 3 months
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