Garrett Tolbert
🚀

Garrett Tolbert

Sales Engineer in Dallas, he/him

New product launched - check it out at corie.io!

2 months ago

An engineer that loves UX and shiny things ✨

Side Projects

2024

Simplify in-app updates & announcements with one line of code. No more dev team bottlenecks.

  • 🖥️ No-code dashboard

  • ✨ Target by region/device

  • 📊 Built-in analytics

Perfect for devs, founders & marketers. Check it out and let me know what you think!

2022

Heaust allows you to manage your event's necessities with ease. Simply create an event, add the items you need guests to bring, and share the event with others!

2022

Wheredyougo is a new way to document your travel! After taking a trip, you can let others know what you did and where you went. Currently crossing our *t*s and dotting our *i*s. Built with Next.js, Prisma, and Planetscale ✨

2021

A Raycast extension to create beautiful images of your code using ray.so

2021

A decentralized photo-sharing app made with Next.js and Solidity.

Writing

2022
Issue #4
2022
Issue #3
2022
Issue #2
2021
Issue #1
2021
Code Snippets

~ Here are some nuggets I think are handy

Work Experience

2022 — Now
2020 — Now
UX Engineer at American Airlines
Dallas

Coordinating with cross-functional teams to establish a consistent design language for our designers and front-end devs. Introduced Next.js to upgrade our design system documentation for more collaboration and transparency.

2019 — 2019
UX Engineer Intern at Google
Mountain View

Worked on Google Search where I modeled components from Google’s design system and created data-driven prototypes to help bridge the gap between Design and Engineering.

2018 — 2019
Google Tech Exchange Program at Google
Mountain View, CA

An immerse, one-year program where I work
alongside other HBCU/HSI students and learn
computer science topics taught by Google engineers
and researchers at their Silicon Valley campuses for
an entire academic year.

2018 — 2018
Software Engineering Intern at Ford Motor Co.
Dearborn, MI

Performed data analysis on a new proof of concept
that leverages big data using GPUs to create visual
dashboards for clients. Hands-on experience with the
AGILE Methodology involving the deployment of a
machine-learning algorithm.

Education

2015 — 2020
Bachelor of Science at Florida A&M University
Tallahassee, FL

Contact

Twitter
GitHub
LinkedIn
Want to chat?