Kenyi Hurtado
High Performance Computing Engineer at University of Notre Dame
Notre Dame, Indiana, United States
Summary
👤
Senior🎓
Top SchoolKenyi Hurtado is a High Performance Computing Engineer with 11 years of experience supporting computational science at the University of Notre Dame, specializing in scientific software, workflow management, and distributed computing. He partners with researchers to design and maintain HPC and HTC services, and contributes to international projects including the CMS Collaboration at CERN where he works on submission infrastructure and workflow teams. His work spans DOE/NSF-funded efforts such as VC3 and SCAILFIN and practical DevOps contributions to cms-sw/genproductions, adding gridpack-generation and Singularity-compatible tooling for Monte Carlo production. Trained as a particle physicist with a PhD, he brings deep domain knowledge in event reconstruction and data correction workflows from time at Fermilab. Comfortable bridging research and production, he combines hands-on scripting, environment/proxy management, and workflow automation to make large-scale science reproducible and scalable. Colleagues value his ability to translate complex experimental needs into robust, automated infrastructure.
11 years of coding experience
4 years of employment as a software developer
Master’s Degree Particle Physics, Master’s Degree Particle Physics at National University of EngineeringDoctor of Philosophy (Ph.D.) Particle Physics, Doctor of Philosophy (Ph.D.) Particle Physics at Centro Brasileiro de Pesquisas Físicas
Spanish, English, Portuguese
Github Skills (9)
sh10
bash10
script10
shell10
scripting10
cicd9
rhel7
docker4
dockers4
Programming languages (9)
Github contributions (5)
cms-sw/genproductions
Mar 2017 - Jul 2020
Generator fragments for MC production
Role in this project:
DevOps Engineer
DevOps EngineerContributions:85 commits, 28 PRs, 121 comments in 3 years 3 months
Contributions summary:Kenyi primarily contributed to the repository by adding and modifying scripts related to gridpack generation for MC production, with specific focus on compatibility with CMS Connect. Their work involved creating new scripts for submitting jobs, splitting the gridpack generation process into different steps, and integrating with the CMS framework. Additionally, the user implemented changes to handle environment variables and proxy settings, and they fixed issues related to singularity environments.
productionfragments
CMSConnect/tutorial-tensorflow-matmul
Oct 2017 - Sep 2023
Contributions:16 pushes in 6 years
mathmatrix-multiplicationsingularityjobmultiplication
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