Devin Petersohn is a Python architect and former CTO with a background in systems research and productizing data tools for real-world data science workloads. He co-founded Ponder and now works at Snowflake, blending startup engineering leadership with experience in large-scale data platforms. As creator of Modin during his PhD at UC Berkeley’s RISELab, he focuses on enabling data science at scale and translating research into production-ready libraries. His earlier roles span machine learning engineering at Intel and bioinformatics research, giving him a strong interdisciplinary grasp of data, performance, and domain needs. A former Korean cryptologic linguist in the USMC, he brings disciplined operational experience and cross-cultural communication skills to technical leadership. He combines academic rigor with practical shipping experience, making him effective at architecting scalable Python systems that meet scientists’ and businesses’ needs.
2 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Berkeley
Associate of Arts (AA) Korean, Associate of Arts (AA) Korean at Defense Language Institute Foreign Language Center
Modin: Scale your Pandas workflows by changing a single line of code
Contributions:2 releases, 34 reviews, 6 PRs in 1 year 4 months
analyticspythonline-of-codedata-sciencedataframe
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