Suhas Somnath

Sr. Product Manager at NVIDIA

Newton, Massachusetts, United States
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Summary

👤
Senior
🎓
Top School
Suhas Somnath is a senior product leader and technologist with a decade of experience blending research-grade engineering, product strategy, and management consulting to drive digital transformation for Fortune 500 clients. He has a PhD in mechanical engineering from UIUC and transitioned from award-winning research at Oak Ridge National Laboratory—where he authored numerous papers and won an R&D 100 award—into strategy roles at McKinsey and product leadership at NVIDIA. Suhas combines deep technical fluency in AI, data management, high-performance and cloud computing with hands-on contributions to open-source scientific tooling (notably adding USID HDF5 read/write support to the hyperspy ecosystem). Known for translating complex scientific and engineering problems into market-ready products, he brings a rare mix of lab-level rigor and commercial execution. Based in Newton, MA, he pairs financial modeling and go-to-market acumen with a persistent curiosity about microscopy, materials science, and scalable data architectures.
code10 years of coding experience
bookPh.D., Ph.D. at University of Illinois Urbana-Champaign
bookB.S, B.S at Rutgers University
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Github Skills (6)

hdf10
python10
data-analysis10
data-visualisation9
data-visualization9
data-visualizations9

Programming languages (4)

C++JavaScriptJupyter NotebookPython

Github contributions (5)

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hyperspy/hyperspy

Apr 2019 - Jan 2020

Multidimensional data analysis
Role in this project:
userBack-end Developer
Contributions:51 commits, 9 PRs, 13 comments in 8 months
Contributions summary:Suhas primarily contributed to the development of a USID (Universal Spectroscopic and Imaging Data) reader and writer plugin for the hyperspy library. Their work involved writing code for reading and writing data structured according to the USID model into HDF5 files, including the implementation of helper functions for simplifying data access and conversion. They added pyUSID as an optional requirement, integrated the USID reader into the io plugins, and fixed bugs that surfaced during unit testing.
multidimensionalmulti-dimensionaldata-analysispythondata-science
Workflows for synchrotron micro-tomography involving porous media
Contributions:33 commits, 33 pushes, 1 branch in 8 months
porous-mediasynchrotronporoustomographyworkflows
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Suhas Somnath - Sr. Product Manager at NVIDIA