Evan Kranzler is a data scientist and full-stack developer in New York with eight years of experience applying mathematics and machine learning to creative product problems. He spent five years at Channel Studio building immersive experiences and production-ready analytics, and earlier supported Data Science education as a Python instructional assistant at General Assembly. Evan combines a rigorous mathematics background from Temple University with hands-on engineering—his open-source contributions to the XMage project show comfort implementing complex rule systems, triggers, and game mechanics in backend code. He excels at turning abstract mathematical ideas into reproducible code and models, and has a track record of collaborating with designers to make technically novel features feel intuitive. Known for curiosity and a habit of automating tedious workflows, he bridges research, tooling, and shipping code in both experimental and product environments.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Temple University
Contributions:573 reviews, 10642 commits, 949 PRs in 5 years 7 months
Contributions summary:Evan primarily contributed by implementing new card mechanics and abilities in the game engine. Their work involved coding new card abilities, including triggers, effects, and costs, that align with the game's established mechanics for card interactions. The user also made changes to filter existing cards to fit the card mechanics and abilities. The commits include a focus on correctly implementing the mechanics and text from trading card game cards.
Contributions:568 commits, 171 PRs, 701 pushes in 4 years 6 months
gamedevmagicgame-developmentopenglengine
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