Max Harms
Software Engineer at Unemployed
Columbus, Ohio, United States
Summary
👤
Senior🎓
Top SchoolMax Harms is a software engineer based in Columbus, Ohio with a decade of hands-on experience as a polyglot programmer who taught himself advanced topics in mathematics and AI. He has a strong front-end focus demonstrated by contributions to ForumMagnum (the LessWrong2/EA Forum platform), improving login UX, profile metadata, and comment interactions to enhance usability. His background includes building and maintaining custom themes, plugins, and Linux-hosted websites, reflecting practical full-stack and ops familiarity. A passionate maker and problem-solver, he blends curiosity-driven learning with pragmatic engineering to ship user-facing features. Max’s volunteer and freelance history shows a willingness to tackle varied projects outside formal employment, bringing both breadth and depth to new challenges.
10 years of coding experience
5 years of employment as a software developer
Lane Community College
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
javascript10
user-interface10
react10
user-experience9
ux-design9
css8
html8
Programming languages (4)
Github contributions (5)
ForumMagnum/ForumMagnum
Sep 2017 - Oct 2017
The development repository for LessWrong2 and the EA Forum, based on Vulcan JS
Role in this project:
Front-end Developer
Front-end DeveloperContributions:23 commits, 8 PRs, 8 pushes in 14 days
Contributions summary:Max primarily contributed to the front-end user interface and user experience elements of the LessWrong2 and EA Forum platform. Their commits focused on improving the login form by adding autofocus, and fixing login error messages. They also introduced a "New Post" item to the user menu and enhanced the user profile page by adding descriptive title tags to ambiguous icons, and made the comments collapsable. These changes reflect an emphasis on improving user interaction and navigation within the application.
js
machine-intelligence/rl-teacher-atari
Aug 2017 - May 2018
(This repository is no longer being maintained.) Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for efficiently collecting human feedback.
Contributions:70 commits, 10 PRs, 38 pushes in 9 months
pytorchdeep-learningreinforcement-learningmachine-learningdeep-rl
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