Kyle Hipke
Senior Software Engineer II at Lucidworks
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Hipke is a Senior Software Engineer II with 14 years of experience building backend systems, developer tooling, and interactive applications from consulting engagements to product engineering in Seattle. At Lucidworks he focuses on scalable search and platform engineering while previously leading technical teams at Cirrus10, where he combined CMS, search, and Java-based web development with process improvements and developer productivity initiatives. An active open-source contributor, he has worked on multiplayer game engines and complex interaction systems (Space Station 14/RobustToolbox) as well as reinforcement-learning tooling and community-driven Unity projects, bringing both gameplay UX and low-level engine fixes to mature codebases. Known for quickly ramping on new domains, he pairs pragmatic problem solving with a strong foundation in computer engineering from the University of Washington.
14 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at University of Washington
Github Skills (24)
ss10
station10
python10
game-dev10
ui-design10
reinforcement-learning10
uid10
ssi10
chess10
tensorflow10
front-end-development10
dotnet-core10
space10
game-development10
csharp10
Programming languages (19)
Github contributions (5)
unitystation/unitystation
Dec 2018 - May 2020
The original unitystation
Role in this project:
Software Engineer
Software EngineerContributions:827 commits, 282 PRs, 173 pushes in 1 year 5 months
Contributions summary:Kyle appears to have been involved in fixing issues related to a `ClosetControl` component. Their work involved debugging the code and resolving problems with the `ClosetControl` functionality after a development merge. The user's contributions primarily focused on updating the code, likely to address merge conflicts and ensure the proper operation of the closet feature.
unity3dunityss13
Zeta36/chess-alpha-zero
Jan 2018 - Jan 2018
Chess reinforcement learning by AlphaGo Zero methods.
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 1 PR in 4 days
Contributions summary:Kyle made several contributions focused on enhancing the project's configuration and agent components. They added documentation to the configuration files, improving understanding of the project's structure. Additionally, the user integrated comments within the agent's player to improve code clarity. This includes enhancements in the environment and worker components, thereby contributing to the overall organization and understanding of the project's core functionality.
alphago-zerozeroalphagoreinforcement-learningdeep-reinforcement-learning
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