Aravind Sankaran
Research Associate (Monitoring Of HPC Systems)
Aachen, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolAravind Sankaran is a research-focused software engineer with nine years of experience at the intersection of high-performance computing, simulation science, and machine learning, currently monitoring HPC systems at Forschungszentrum Jülich. He combines deep academic training toward a PhD from RWTH Aachen with hands-on development—running MLR2D to bridge ML research and deployment and contributing full-stack and simulation-domain expertise. His prior roles include performance analysis of mathematical software and building a linear algebra compiler component for tensor transpositions, reflecting strong numerical and systems-level skills. Comfortable in both research and production contexts, he brings a practical understanding of deploying ML workflows on large computational platforms and a knack for turning simulation research into usable software.
9 years of coding experience
4 years of employment as a software developer
Doctor's Degree*, Informatik, Doctor's Degree*, Informatik at RWTH Aachen UniversityBachelor of Engineering (B.E.), Industrial Engineering, Bachelor of Engineering (B.E.), Industrial Engineering at College of Engineering, Guindy
Stackoverflow
3reputation
132reached
0answers
1question
Github Skills (21)
python9
machine-learning9
deep-learning8
tensorflow8
data-science7
neural-network7
cuda6
pgi6
gpu6
theano6
openacc6
nvcc6
music5
deep-neural-networks5
ml5
Programming languages (4)
Github contributions (5)
HPAC/LinearAlgebra-Awareness-Benchmark
Feb 2022 - Feb 2022
Contributions:51 commits, 49 pushes, 1 branch in 2 days
HPAC/PartialRanker
Jul 2022 - Jul 2024
Partial Ranker is a python library that implements methodologies for ranking a given set of objects that have a strict partial order relation.
Contributions:1 release, 4 PRs, 50 pushes in 1 year 11 months
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