Régis Caillaud
Software Engineer at Datadog
Nantes, Pays de la Loire, France
Summary
🤩
Rockstar🎓
Top SchoolRégis Caillaud is a software engineer with eight years of experience building embedded and high-performance systems, now working on highly concurrent distributed infrastructure at Datadog. He has a strong foundation in C/C++ and embedded RTOS work from aerospace and IoT projects, and has expanded into scientific and numerical computing using Python, Nim, Julia, Rust and Go. At deepColor he architected a photoacoustic medical imaging stack combining system programming, multithreading and scientific algorithms, reflecting his ability to bridge hardware, real-time constraints and research code. He contributes to open-source numeric tooling—helping maintain Arraymancer, a Nim tensor library—where his work on memory layouts, unsafe views and leak fixes reveals deep low-level expertise. Trained in formal verification and real-time critical software at Ecole Centrale de Nantes, he brings rigorous correctness-minded engineering to performance-sensitive systems. Based in Nantes, he pairs academic rigor with pragmatic production experience across embedded, scientific and cloud-scale domains.
8 years of coding experience
8 years of employment as a software developer
Classe préparatoire MPSI / PSI, Classe préparatoire MPSI / PSI at Lycée MassenaMaster's degree, computer science, formal verification, real-time critical software, Master's degree, computer science, formal verification, real-time critical software at Ecole centrale de Nantes
English, Spanish
Github Skills (16)
nim-lang10
cluster-computing10
tensor10
high-performance10
scientific-computing10
linear-algebra10
accelerated-computing9
opencl9
cuda9
openmp8
automatic-differentiation8
gpu8
gpgpu8
parallel-computing8
ndarray7
Programming languages (13)
Github contributions (5)
mratsim/Arraymancer
Dec 2020 - Sep 2022
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Role in this project:
Backend Developer
Backend DeveloperContributions:17 reviews, 7 commits, 7 PRs in 1 year 8 months
Contributions summary:Régis primarily contributed to the core functionality of the `arraymancer` tensor library, a project focused on deep learning and numerical computation. Their commits focused on fixing deprecation warnings and adapting the code to newer Nim versions, ensuring compatibility and maintainability. The user also introduced features like `toUnsafeView` and incorporated row/column major layout considerations, demonstrating a deep understanding of low-level memory management and data structure organization within the tensor library. Further contributions included refactoring code and fixing memory leaks introduced by changes.
ndarrayautomatic-differentiationtensor-librarytensorgpgpu
Clonkk/nim-zmq
Jul 2021 - May 2023
Nim ZMQ wrapper
Contributions:6 PRs, 41 pushes, 10 branches in 1 year 9 months
nim-langnimblenimzeromqzmq
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