Glenn聽Powell
Senior Vice President Of Engineering at Ellipsis Health
Walnut Creek, California, United States
Summary
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Top SchoolGlenn Powell is a senior engineering leader with 17 years of experience building and scaling AI-driven products and platforms from startups to research-focused teams. Currently SVP of Engineering at Ellipsis Health, he has a track record as a founder and technical lead鈥攃o-founding and architecting AI-enabled companies in elder care, generative content, and real estate automation. His background includes impactful tenure at OpenAI and hands-on contributions to well-known open-source projects like OpenAI Gym and geokit-rails, where he improved compatibility, testing, and API ergonomics. Based in Walnut Creek, CA, he blends deep backend and systems expertise with product-focused execution and investor-backed startup experience. An engineer who still writes tests and refactors interfaces, he brings a pragmatic, product-first approach to delivering safe, production-ready AI in regulated domains.
17 years of coding experience
14 years of employment as a software developer
BS Computer Science, BS Computer Science at UC Santa Barbara
German
Github Skills (17)
unit-testing10
ruby-rails10
pytest10
python10
testing10
openai-gym10
rspec10
rails10
reinforcement-learning10
ruby10
activerecord10
test-unit10
unit-test10
develop9
git9
Programming languages (4)
Github contributions (5)
geokit/geokit-rails
Feb 2009 - May 2009
Official Geokit plugin for Rails/ActiveRecord. Provides location-based goodness for your Rails app. Requires the Geokit gem.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits in 2 months
Contributions summary:Glenn primarily contributed to the `geokit-rails` project, enhancing its functionality by adding support for the `:through` option within the `acts_as_mappable` module. They implemented tests to validate the `:through` feature. Additionally, the user addressed issues related to argument handling and fixed options for non-Geokit finds, refining the core location-based query logic. Furthermore, the user added a control to aid in domain-specific API keys.
rails-apprailsrubyrequireslocation
openai/gym
Feb 2018 - Feb 2018
A toolkit for developing and comparing reinforcement learning algorithms.
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 commits, 12 PRs, 11 pushes in 6 days
Contributions summary:Glenn primarily focused on enhancing the `gym` library by implementing a `compatible` method for various space types, ensuring shape compatibility regardless of bounds. This involved creating tests for these functionalities within `test_compatible_spaces.py`. Additionally, the user refactored the command interface for Env/Wrappers and improved related method names. Finally, the user reverted all commits to the repository.
comparingreinforcement-learning-algorithmsdevelopingdeep-learningreinforcement-learning
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