Paul Singman
Software Engineer at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Singman is a software engineer with 11 years of experience building data-driven systems and machine learning infrastructure across startups and large tech firms in New York. Currently working at Meta while also contributing at Supernatural, he brings recent experience at the intersection of product engineering and developer-facing tooling from roles as a developer advocate and senior ML/data engineer. His background spans data engineering at consumer and mobility companies, production ML at media, and an early career in actuarial science—giving him a strong quantitative foundation from Wharton and Insight Data Science. Paul is comfortable translating statistical rigor into scalable pipelines and developer experiences, and his cross-functional path suggests a knack for making complex models operational and approachable. Colleagues would note his blend of analytics-first thinking with hands-on software delivery across the ML lifecycle.
11 years of coding experience
6 years of employment as a software developer
Data Engineering Fellow, Data Engineering Fellow at Insight Data ScienceBachelor's of Economics, Mathematical Statistics and Probability, Bachelor's of Economics, Mathematical Statistics and Probability at The Wharton School
Github Skills (69)
data-stream10
apache-spark10
python10
blob-storage10
openstack-swift10
aws-s310
data-engineering10
dataframes10
apache-sparksql10
golang10
object-storage10
data-versioning10
go10
version-control10
distributed-file-system10
Programming languages (4)
Github contributions (5)
peacing/OscarsPredictor
Feb 2016 - Mar 2016
Contributions:53 commits, 57 pushes, 1 branch in 22 days
peacing/udacity-machine-learning
Nov 2015 - Dec 2016
Contributions:86 commits, 115 pushes, 1 branch in 1 year
udacitymachine-learningwrite-upsmleups
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