Chris R
Data Scientist
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolChris R is a Data Scientist with 11 years of experience bridging physics-driven R&D and production ML, currently applying data science at Faros AI after leading ML efforts on Salesforce’s Einstein platform. He has deep electrical engineering and laser-physics roots from Purdue and roles in ultrafast laser development, which inform a rigorous, measurement-first approach to feature engineering and model reliability. At Salesforce he helped deliver AutoML and NLP-driven routing products and contributed QA/test automation to the popular TransmogrifAI open-source AutoML project, improving feature-engineering test coverage. Comfortable working at scale on Apache Spark-based pipelines, he combines experimental rigor with pragmatic ML engineering to move research into robust production systems.
11 years of coding experience
16 years of employment as a software developer
B.S.EE, Electrical Engineering, B.S.EE, Electrical Engineering at Purdue University
English
Github Skills (7)
testing10
transformers10
feature-engineering10
scala10
automated-machine-learning9
apache-spark9
machine-learning8
Programming languages (4)
Github contributions (5)
salesforce/TransmogrifAI
Jan 2019 - Apr 2021
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:11 reviews, 13 commits, 11 PRs in 2 years 3 months
Contributions summary:Chris primarily contributed to test suite improvements within the repository. Their commits focused on modifying and adding test cases, specifically for feature-engineering stages, including RealNNVectorizer, string indexing and time period transformers. The changes involved adapting test names and adding new tests to increase the coverage and robustness of the existing features. The work suggests a focus on maintaining the quality and reliability of the project's core functionality.
pythonsalesforcetransformationstransmogrifyestimators
crupley/TransmogrifAI
Nov 2018 - Jan 2021
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning
Contributions:51 pushes, 34 branches in 2 years 2 months
pythondata-sciencemachine-learningmlopsspark
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.