Iñaki Barral
Software Engineer at Codee
Pontevedra, Galicia, Spain
Summary
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Rockstar🎓
Top SchoolIñaki Barral is a software engineer based in Santiago de Compostela with eight years of experience specializing in compilers, LLVM, and high-performance computing. He combines academic research and teaching at Universidade da Coruña with practical engineering at Codee, bringing a strong HPC master's background to production-grade tooling. His work history shows a steady progression from undergraduate engineering roles to research assistantships and a funded research fellowship (FPU21/00491), reflecting both deep technical knowledge and an ability to communicate complex concepts. Comfortable in low-level systems and performance optimization, he pairs compiler expertise with a computer-science foundation visible across academic and industry projects. Notably, he bridges research and application, translating compiler research into real-world performance improvements.
8 years of coding experience
1 year of employment as a software developer
Master's degree, High-Performance Computing, Master's degree, High-Performance Computing at Universidade da Coruña
Github Skills (40)
multiplayer10
python10
git-repository10
triple10
biopython10
sequence-alignment10
cvs10
phylogenetics10
bioinformatics10
genomics10
protein-structure10
cpp10
server10
ssa9
high-performance9
Programming languages (7)
Github contributions (5)
UDC-GAC/pRIblast
Aug 2021 - Dec 2024
pRIblast is a high efficient, parallel algorithm for extensive lncRNA-RNA interaction analysis
Contributions:8 PRs, 90 pushes, 14 branches in 3 years 3 months
interactionlncrnaparallelbioinformaticsparallel-algorithm
UDC-GAC/PATO
May 2022 - Jan 2023
PATO: high PerformAnce TriplexatOr is a high performance tool for the fast and efficient detection of triple helices and triplex features in nucleotide sequences
Contributions:11 releases, 25 commits, 14 PRs in 7 months
lncrnaparalleltriplexalignmentparallelism
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