Peter Sujan
Senior Software Engineer at Waymo
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolPeter Sujan is a Senior Software Engineer with 12 years of experience building scalable, metrics-driven systems for measurement and algorithmic experimentation, currently shaping evaluation methodologies at Waymo. He combines an M.A. in Statistics from UC Berkeley with strong software engineering chops honed across multiple roles at Microsoft, where he owned end-to-end infrastructure for automated bidding that impacted billions in annual revenue. Peter excels at translating statistical rigor into production-grade pipelines, monitoring, and safeguards so data and ML scientists can iterate reliably at scale. He has hands-on experience optimizing batch and real-time systems, driving cost savings and measurable product lifts while mentoring teams across time zones. His open-source contributions include improving documentation and usability for an introductory data science Python library, reflecting a practical commitment to developer experience and teaching. Comfortable at the intersection of stats and systems, he brings a blend of quantitative thinking, production engineering, and pedagogy to complex ML evaluation problems.
12 years of coding experience
13 years of employment as a software developer
Master of Arts (M.A.), Statistics, Master of Arts (M.A.), Statistics at University of California, Berkeley
Github Skills (5)
pandas10
python10
data-science10
documentation10
numpy9
Programming languages (6)
Github contributions (5)
data-8/datascience
Feb 2016 - Feb 2016
A Python library for introductory data science
Role in this project:
Data Scientist
Data ScientistContributions:11 commits, 2 PRs, 7 pushes in 2 days
Contributions summary:Peter primarily focused on improving the documentation of existing functions within the datascience library. They updated the documentation for key methods such as `select`, `drop`, `where`, `sort`, `group`, and `groups`, including adding detailed examples. Their work involved modifying docstrings and adding example usage to enhance clarity and usability for other developers. The commits show a focus on improving user understanding of the library's core functionalities.
python-librarydata-analysispythonsciencedataframes
peterasujan/dotfiles
Mar 2015 - Apr 2016
Contributions:51 commits, 30 pushes, 1 branch in 1 year 1 month
dotfilesemacsconfiguration-filesbash
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