Hello! πŸ‘‹

I'm Austin Wald, a Software Engineer, Team Lead @ Meta, Grad Student @ GT, and Music Lover @ Home.

Get in touch πŸ‘‰ austin.wald.dev@gmail.com

About Me

I love solving a tough problem. Whether it's exploring the unknown through R&D, learning how to lead by example to empower my team, or just finding the best way to brew a cup of coffee, I try to always stay curious and open to the ideas our wonderful world has to offer.

I currently work at Meta AI as a group lead for a data and evaluation team supporting the amazing research engineers building the next generation of Llama-powered products. My work focuses ensuring our AI researchers and engineers aren't held back by a lack of data to test new ideas and develop cutting edge machine learning models.

The best part of my job? Without a doubt seeing my team find their strengths and pursue their passions.

Before my time at Meta, I was lucky enough to work as an Embedded Software Engineer at MITRE, a not-for-profit organization that operates Federally Funded Research and Development Centers (FFRDCs). I supported the National Security Engineering Center, and was fortunate to explore the worlds of embedded security, DSP, and PNT with some of the brightest engineers in the field.

Also, none of this would have been possible without the incredible folks at the UC Davis College of Engineering, who helped me kickstart my career. I am forever grateful for the support and mentorship I received while interning at the Biological and Agricultural Engineering department's Ag Safety & Health Lab under Dr. Farzaneh Khorsandi and Dr. Guilherme De Moura Araujo. While interning, I supported their research for an all-terrain vehicle (ATV) crash detection system and a companion iOS app.

Inspired by the many incredible colleagues I've crossed paths with, I am currently pursuing a Master of Science in Computer Science at the Georgia Institute of Technology. Go Yellow Jackets!

When I have some downtime, I love finding my next favorite band, exploring the great outdoors, and hanging out with my favorite cat in the world, Blue Cheese. πŸ˜ΌπŸ’™

Skills

Languages

  • Python
  • C
  • C++
  • Assembly (ARM, PPC, Sparc)
  • SQL
  • JS/TS

Frameworks

  • Pytest
  • Flask
  • React
  • Node.js
  • Next.js

Software

  • *nix
  • Git
  • GitLab CI/CD
  • PostgreSQL
  • Docker

Cloud

  • Amazon EC2
  • Amazon S3
  • Amazon RDS
  • Amazon Lambda
  • Google Cloud

Experience

Meta AI

Group Lead, Generative AI

2024 - Present

MITRE

Embedded Software Engineer

2021 - 2024

University of California, Davis

Software Engineer Intern

2020 - 2020

University of California, Davis

Undergraduate Research Assistant

2020 - 2020

Tau Beta Pi, CA Lambda Chapter

STEM Tutor, CS Specialist

2019 - 2020

UCD Campus Recreation, Unions, and Services

IT Technician

2018 - 2020

Projects

Spotify Playlist Utilities search page

Spotify Playlist Utilities

A collection of utilities and experiments for managing Spotify playlists. The main motivation for putting this together was a really obscure and annoying issue with the way music is hosted on Spotify. Playlists that have been edited, listened to, and otherwise enjoyed for several years may accumulate multiple versions of the same track since Spotify is unable to recognize re-uploaded tracks. You might not notice the issue until you've heard the same song three times in a row in a playlist with 750 songs, but I sure have.

TypeScript React Next.js MongoDB REST API
AgroGuardian test run

AgroGuardian

An all-terrain vehicle (ATV) crash detection system and companion iOS app. ATV accidents are a leading cause of death in global agribusiness. Moreover, the vast majority of these accidents are all the same type, rollovers. Our research focused on developing a crash detection device that could be mounted on an ATV and alert first-responders in the event of a rollover. The project required out-of-the-box thinking since we had to network prototypes that were operating well outside of cellular networks. Fortunately, we were able to leverage the Iridium satellite network to send crash reports to our cloud infrastructure and alert first-responders.

Python Raspberry Pi AWS PostgreSQL Major Tom
Discord graphic

Configurable Discord Bot

A Discord bot that can be configured to perform a variety of tasks. The bot is built with Python and uses the Discord.py library. The bot is designed to be easily configurable and can be extended with custom responses and commands. The main motivation behind this project was to build CI/CD pipelines within GitHub Actions and deploy Docker containers to Google Cloud.

Python Discord.py Docker GitHub Actions CI/CD Google Cloud

Newsletters

I recently decided to take a social media detox and have become a newsletter guy. It turns out having an actually writing team is a way better way to get news than that random angry guy on Twitter a recommendation algorithm thought you would "engage" with. Here are a few newsletters that I follow to keep an ear to the ground.

College Radio

One more thing if you'll indulge me. I love music, you (hopefully) love music, and a lot of college students love music. So, why not support your local college radio station? Here are a few of my favorites (totally unbiased):