Grzegorz Gruszczynski
Warsaw, Masovian Voivodeship, Poland
Summary
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RockstarGrzegorz Gruszczyński is a Senior AI Research Engineer with a decade of experience blending computational fluid dynamics, high-performance computing, and machine learning to build physics-informed neural networks and neural operators. He holds a PhD focused on the Lattice Boltzmann Method and has bridged academic research with industry roles—from developing CFD solvers and teaching CUDA to creating neural architectures that honor governing PDEs. Currently at Samsung after a research stint at IDEAS NCBR, he specializes in using diffusion models and neural operators to make AI predictions respect physical laws, a niche that uniquely couples theory and production-grade simulation. Known for hands-on HPC cluster work and interdisciplinary collaboration, he also brings practical software engineering experience from projects ranging from decentralized compute markets to embedded camera systems. Based in Warsaw, he combines deep domain expertise with a track record of publishing and shipping tools that accelerate physics-driven ML.
10 years of coding experience
Github Skills (49)
lattice10
python10
r10
finance10
cpu10
mpi10
golem10
petsc10
cryptocurrency10
snl-applications10
ethereum10
blockchain10
computational-fluid-dynamics10
hydrodynamics10
p2p10
Programming languages (10)
Github contributions (5)
icm-uw/hpc-docs
Feb 2020 - Dec 2021
Repository contains public documentation of the hpc-resources and tutorials.
Contributions:543 pushes, 75 branches in 1 year 9 months
hpc
ggruszczynski/TCLB_docs
Feb 2018 - Nov 2021
Contributions:34 pushes, 3 branches in 3 years 9 months
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