Nikolaos Triantafyllis
HPC Researcher at Computing Systems Laboratory (CSLab), NTUA
Athens, Attica, Greece
Summary
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Senior🎓
Top SchoolNikolaos Triantafyllis is an HPC researcher and PhD candidate at NTUA's Computing Systems Laboratory with a decade of experience optimizing high-performance computing infrastructures and job scheduling. He has applied research to production as an HPC high-level support engineer at GRNET and built an award-winning real-time moment tensor retrieval application used operationally by the Institute of Geodynamics. His background spans EU research projects (C-SCALE, EOSC-Future), national scientific archives (EIDA), and security-focused software for the Hellenic National Defense General Staff, reflecting a blend of research, support, and applied engineering. Nikolaos combines deep systems knowledge with hands-on deployment experience in distributed environments and a track record of turning HPC research into operational tools. Based in Athens, he brings both academic rigor and practical impact to challenges in HPC scheduling and infrastructure optimization.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at University of PatrasDoctor of Philosophy (PhD) candidate HPC Job Scheduling Optimization, Doctor of Philosophy (PhD) candidate HPC Job Scheduling Optimization at National Technical University of Athens
Greek, English
Stackoverflow
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Github Skills (133)
python10
obspy10
data-center10
signal-processing10
mechanism10
science10
seismology10
k-nearest-neighbours9
authentication9
metadata9
content-based-recommendation9
noise9
collector9
earth9
authorization9
Programming languages (14)
Github contributions (5)
nikosT/Gisola
Nov 2021 - Jan 2023
Gisola: A High Performance Computing application for real-time Moment Tensor inversion
Contributions:9 releases, 37 commits, 7 PRs in 1 year 2 months
tensorseismologyseiscompeidahpc
nikosT/eosc-recommender-metrics
Apr 2022 - Apr 2024
A framework for counting the recommender metrics
Contributions:290 pushes, 157 branches in 2 years
recommendermachine-learningrecallmetricsrecommender-system
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