Shreyas Dalia
Group Leader - Integrated Data Systems
Oakland, California, United States
Summary
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Rockstar🎓
Top SchoolShreyas Dalia is a seasoned software architect and group leader with 14 years of experience building data infrastructure and distributed platforms for scientific research at Lawrence Berkeley National Laboratory. He leads the Integrated Data Systems group, architecting FAIR, Link-ML–based metadata systems and distributed pipelines that power national projects like the NMDC, ESS-DIVE, and the Materials Project. His background spans high-performance computing, cloud and grid technologies, and large-scale databases—skills honed from hands-on roles developing HPSS, GridFTP, and RESTful HPC APIs like NEWT. Shreyas excels at turning complex interdisciplinary science requirements into production-grade, reproducible data platforms and has repeatedly bridged research and engineering as technical lead or co-PI. Based in Oakland, he pairs deep systems-level coding experience with program leadership, and has a long track record of enabling interactive HPC (Jupyter) and large-scale data lifecycle workflows that aren’t obvious from a simple architect title.
14 years of coding experience
17 years of employment as a software developer
Bachelors Computer Science Cognitive Sciences, Bachelors Computer Science Cognitive Sciences at Rice University
Stackoverflow
11,225reputation
643kreached
26answers
15questions
authentication
top-5%
debugging
top-1%
unit-testing
top-5%
python
top-5%
django
top-5%
mocking
top-5%
Github Skills (155)
python10
ipython10
microbiome10
genomics10
debugging10
jupyter10
multi-user10
jupyter-notebook10
single-user10
jupyterhub10
addon10
django9
authentication9
metadata9
csrf9
Programming languages (9)
Github contributions (5)
shreddd/newt-2.0
Aug 2013 - Dec 2016
NEWT - Nice and Easy Web Toolkit - REST API for HPC
Contributions:60 commits, 8 PRs, 7 pushes in 3 years 4 months
apipythonrest-api-toolkitnewtrest
Jupyter-Kale/Jupyter-and-its-moons
Oct 2017 - Oct 2017
Contributions:31 commits, 23 pushes in 5 days
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