David Singer
Senior Software Engineer at Tradespace
Berkeley, California, United States
Summary
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RockstarDavid Singer is a Senior Software Engineer based in Berkeley with 14 years of experience building backend systems and machine learning infrastructure. He spent two intensive years building Doorman and has contributed to Apache PredictionIO’s core workflow, algorithm serving, and data/event storage—highlighting expertise in ML model lifecycle and operational integration. Currently at Tradespace, he focuses on delivering reliable backend services informed by production-grade open source experience. David prefers email contact over LinkedIn and maintains a pragmatic, hands-on approach to engineering that blends code integration, systems design, and data workflow reliability.
14 years of coding experience
4 years of employment as a software developer
Github Skills (7)
data-storage10
apache-spark10
scala10
machine-learning9
big-data9
data-pipeline8
data-pipelines8
Programming languages (9)
Github contributions (5)
apache/predictionio
Oct 2014 - May 2015
PredictionIO, a machine learning server for developers and ML engineers.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:179 commits, 1 PR, 73 pushes in 6 months
Contributions summary:David primarily merged branches to the 'develop' branch, indicating a role in integrating code changes. Code diffs reveal the user worked on the core workflow components of the PredictionIO framework, specifically involving algorithm serving, evaluation, and model construction. They also updated the DataMap and Event storage features. The user's commits reflect a focus on the PredictionIO framework's operational aspects, including core workflow and data storage.
pythondata-sciencemachine-learningmlopsbig-data
ramaboo/prius-generator
Feb 2016 - Nov 2019
Contributions:14 commits, 11 pushes, 1 branch in 3 years 10 months
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