Jan Paral
Chief R&D Officer at Raincoat
United States
Summary
👤
Senior🎓
Top SchoolJan Paral is a Chief R&D Officer with 9 years of industry experience and a PhD in Computational Space Physics, blending deep expertise in machine learning, big data architecture, and high-performance numerical modeling. He has moved systems from HPC C++/MPI realms into cloud-native production—designing ETL pipelines, scalable ML models (TensorFlow), and cluster orchestration with Kubernetes and Mesos while leading R&D at Raincoat after a senior systems role at Oracle. His career began in space and atmospheric physics research (Van Allen Probes, NASA fellowship) where he developed large-scale numerical simulations, a foundation that informs his practical approach to geospatial risk analysis and weather modeling. Comfortable across the full stack from neural networks to DevOps, he’s equally at home optimizing MPI performance as he is deploying ML services to clouds, making him a rare bridge between academic simulation and production data systems.
9 years of coding experience
19 years of employment as a software developer
PhD Computational Space Physics, PhD Computational Space Physics at University of AlbertaBEng Computer Science, BEng Computer Science at Czech Technical University in Prague
English, CzechGithub contributions (5)
jandeca/Gerard_etal_2021
Jun 2021 - Jan 2022
Contributions:3 releases, 2 pushes, 1 branch in 7 months
jandeca/Deca_etal_JGR_2020
Sep 2019 - Jan 2020
Contributions:1 release, 5 pushes, 1 branch in 4 months
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