Christian Jans
Software Engineer at Amazon Web Services (AWS)
Edmonton, Alberta, Canada
Summary
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Rockstar🎓
Top SchoolChristian Jans is a software engineer with seven years of experience building scalable cloud infrastructure and research-driven ML systems, currently contributing to EC2 Auto Scaling at AWS. He blends practical backend engineering with a strong research bent—past roles include university research on image segmentation and multiple deep reinforcement learning projects applied to robotics, board games, and autonomous driving. An active open-source contributor, he implemented the Clobber game in DeepMind’s well-known OpenSpiel framework and extended Python and Julia wrappers so researchers can use the new environment. Based in Edmonton, he leverages a Computer Engineering co-op education to move ideas from prototypical research into production-quality services.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Computer Engineering Co-op — Software Option, Bachelor of Science, Computer Engineering Co-op — Software Option at University of AlbertaHigh School Diploma, High School Diploma at Bev Facey High School
Github Skills (9)
c-language10
cprogramming-language10
videogames10
python9
coregames9
julia8
reinforcement-learning7
cpp7
multi-agent6
Programming languages (7)
Github contributions (5)
google-deepmind/open_spiel
Jun 2020 - Jun 2021
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 35 commits, 7 PRs in 11 months
Contributions summary:Christian's primary contribution involves the implementation of the Clobber game within the OpenSpiel framework. This includes the creation of the `clobber.cc` file, which contains the game logic, rules, and state management. Furthermore, the user integrated the new Clobber game into the OpenSpiel framework by adding methods for a new initial state to the Python and Julia wrappers. These changes enabled the game to be accessible and used via the Python and Julia APIs.
cppmultiagentgamespythondatamining
christianjans/open_spiel
Jun 2020 - Jun 2021
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Contributions:36 pushes, 15 branches in 11 months
gamesreinforcement-learningplanningreinforcementenvironments
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