Richard Schneeman
Principal Engineer At Salesforce - Heroku Ruby Language Owner
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolRichard Schneeman is a Principal Engineer and the Heroku Ruby Language Owner at Salesforce with 15+ years building and shipping high-performance Ruby systems. He blends hands-on engineering—maintaining Heroku's Ruby buildpack and contributing to Ruby, Rails, Puma, and Rack—with an educator’s instinct, having spoken at 30+ conferences worldwide and taught developers how to contribute to open source. A top-50 Rails contributor and Puma maintainer (161M+ downloads), he also created CodeTriage to coach 60,000+ developers into open-source contribution. He focuses on reliability, performance tuning, and production debugging for customer-facing apps, and routinely drives fixes upstream across the Ruby ecosystem. Known for clear technical writing, durable test suites, and mentoring others to speak and mentor, he elevates team craft as much as code. Based in Austin, he uniquely pairs systems-level performance work with grassroots community-building.
15 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Stackoverflow
15,298reputation
869kreached
89answers
100questions
travis-ci
top-5%
heroku
top-5%
ruby-on-rails
top-5%
Github Skills (51)
sprockets10
ruby-rails10
programming-language10
benchmark10
testing10
machine-learning10
process-management10
benchmarking10
rails10
sourcemaps10
octave10
ruby10
linear-regression10
performance-testing10
lang10
Programming languages (33)
Github contributions (5)
schneems/Octave
Oct 2011 - Jul 2016
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
Role in this project:
ML Engineer / Data Scientist
ML Engineer / Data ScientistContributions:28 commits, 8 PRs, 1 push in 4 years 9 months
Contributions summary:Richard appears to be working on a machine learning project related to the Stanford machine learning course. Their contributions include implementing and modifying core machine learning algorithms, such as gradient descent and feature normalization, within the context of the Octave programming environment. Furthermore, the commits demonstrate an engagement with logistic regression concepts, including cost functions, gradients, and prediction mechanisms. The user is actively submitting their solutions to the course's programming exercises.
machine-learningoctave
heroku/heroku-buildpack-ruby
Oct 2012 - Dec 2022
Heroku's classic buildpack for Ruby apps
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:37 releases, 152 reviews, 1005 commits in 10 years 3 months
Contributions summary:Richard primarily contributed to the Ruby buildpack, focusing on improvements to the build process and supporting features. Their commits involved bug fixes for potential deployment errors and improvements to the user experience, such as better error messages and warnings. The user demonstrated expertise by modifying and testing the build and deployment automation scripts. These commits included fixing an issue in the way a binstub handles errors, adding logic to remove the bundle files during installation and also modifying the process for detecting the Ruby version.
buildpackherokurubyheroku-languages
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