Alessandro Rigazzi
Senior Deep Learning Performance Engineer at NVIDIA
Lugano, Ticino, Switzerland
Summary
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Senior🎓
Top SchoolAlessandro Rigazzi is a Senior Deep Learning Performance Engineer with nine years of experience at the intersection of HPC and AI, currently accelerating model performance at NVIDIA after leading LLM and multimodal AI research at HPE. He combines a PhD in Computational Science with practical engineering—shipping tools like SmartSim/SmartRedis and optimizing large-scale training and deployment on pre-exascale supercomputers (LUMI). Known for simplifying complex problems into computational models, he specializes in performance engineering for large models, reinforcement learning, visualization, and even exploratory quantum computing ideas. His background spans academic research in fast solvers and parallel algorithms to production-oriented AI software, giving him a rare blend of theory and systems expertise. Based in Lugano, Switzerland, he’s driven by causality-driven analysis and enjoys turning research prototypes into scalable HPC-AI workflows. An uncommon strength is his track record of moving across academia, research labs, and industry to deliver both foundational algorithms and applied ML infrastructure.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Science, Doctor of Philosophy (Ph.D.), Computational Science at USI Università della Svizzera italianaMSc, Computer Science, MSc, Computer Science at ETH Zürich
English, French, Italian, German
Stackoverflow
1reputation
0reached
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Github Skills (126)
parallel10
ray10
optimization10
redisai10
reinforcement-learning10
simulation10
machine-learning10
portable9
redis-client9
julia9
redis-streams9
dataflow9
dep9
python9
mxnet9
Programming languages (8)
Github contributions (5)
CrayLabs/smartsim-openmm
Aug 2021 - Mar 2022
SmartSim used to implement the DeepDriveMD workflow with OpenMM
Contributions:1 review, 76 commits, 1 push in 7 months
molecular-dynamicsopenmmsimulationmachine-learninghpc
CrayLabs/SmartSim-Zoo
Oct 2021 - Apr 2022
A repository of CrayLabs and user contributed examples of using SmartSim.
Contributions:2 reviews, 15 commits, 1 PR in 5 months
tiddlywikiplacementmachine-learningansible-collectionsopen-science
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