Grant Mathews

Tech Lead, AI at Gem

San Francisco, California, United States
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Summary

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Rockstar
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Grant Mathews is a Tech Lead, AI with 15 years of experience building full-stack systems and leading engineering teams in the San Francisco Bay Area. Currently driving AI initiatives at Gem after senior roles at Dropbox and earlier startups, he bridges frontend and backend development with a strong preference for TypeScript and emerging interest in Rust. He has hands-on experience modernizing interactive front-end frameworks, including notable contributions to a Khan Academy exercise framework where he simplified complex UI logic and integrated external libraries. Known for shipping pragmatic, user-focused solutions, Grant combines product sensibility with deep engineering rigor across scalable web and AI projects. He holds a B.E. in Computer Science from Stanford and brings an educator’s touch from years as a section leader, which informs his mentorship and documentation style.
code15 years of coding experience
job6 years of employment as a software developer
bookSouth Carroll High School
bookBachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Stanford University
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Stackoverflow

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10,193reputation
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Github Skills (19)

visual-studio-code10
javascript10
jquery10
typescript10
html10
ui-design9
math9
mathematics9
front-end-development9
vim9
uid9
web-framework8
scrollbar6
haxe6
python6

Programming languages (11)

TypeScriptC#C++RustJavaScriptreStructuredTextZigHTML

Github contributions (5)

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Khan/khan-exercises

May 2011 - May 2011

A (deprecated) framework for building exercises to work with Khan Academy.
Role in this project:
userFull-stack Developer
Contributions:7 commits in 11 days
Contributions summary:Grant primarily contributed to the frontend of a Khan Academy exercise framework, implementing interactive addition exercises. Their work includes defining exercise logic, generating random numbers, and creating a user interface with hints. Significant modifications and simplification of existing code were performed to improve usability and adherence to coding guidelines. Furthermore, the user integrated external libraries and modified the core framework.
khan-academy
johnfn/cs248-project

Mar 2012 - Mar 2012

Contributions:84 commits in 13 days
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