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I like software that sparks joy.

Projects

  • as a scientific software engineer, I'm currently helping Proxima Fusion in its mission to bring fusion power to the grid
  • most of my past work consisted in designing and implementing high-level, high-performance data processing interfaces for high-energy physics use cases in ROOT
  • in my free time I'm working on Kobold, a static site generator written in Rust with a friendly CLI interface
  • over the years I built a number of small Telegram bots to help with various tasks -- lastdatestanding_bot in particular turned out to be surprisingly useful
  • as part of my PhD project I worked extensively on TVO, a PyTorch package for unsupervised learning via truncated variational optimization

Here are my dotfiles and an Ansible playbook to set up or re-create my environment starting from a base Arch Linux installation.

Languages and tools I use frequently

Rust • C++ • Python • fish • Helix • perf • Taskwarrior • Ansible • Syncthing

Where to find me

Enrico Guiraud's Projects

adl-benchmarks-index icon adl-benchmarks-index

A list of example analysis challenges and solved implementations of them in various languages

amazed icon amazed

A simple C++ program to generate and solve mazes

aurora icon aurora

Modern toolbox for impurity transport, neutrals and radiation modeling in magnetically-confined plasmas

clap icon clap

A full featured, fast Command Line Argument Parser for Rust

codimd_server icon codimd_server

CodiMD - Realtime collaborative markdown notes on all platforms.

cppyy_tutorial icon cppyy_tutorial

Tutorial for cppyy prepared for the workshop on interfaces with low level libraries in Cernay, May 2018

crown icon crown

C++ based ROOT Workflow for N-tuples (CROWN)

cvmfs_everywhere icon cvmfs_everywhere

Recipe for an ubuntu-based docker container with a working cvmfs client

diff_eq_solver icon diff_eq_solver

This project would be a simple and easy-to-expand framework for the numerical resolution of differential equations.

em_noisyor icon em_noisyor

my implementation of an exact EM learning algorithm applied to the NoisyOR model

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