Hi, I’m Austin. Nice to meet you!
I’m a software development lead.
I’m open to new opportunities.
Here are some of my current interests.
Machine Learning
I’m fascinated that (layers and layers of) simple probability can appear so intelligent.
Computer Vision
I’m looking for ways to detect the geometry of a room from just a photo.
Puzzles
I like the challenge of figuring out puzzles, from crosswords to wordles to jigsaws.
Robotics
Lately, I’ve been dabbling in projects around the house – like an automatic bird bath cleaner.
Expertise
API design
Data modeling
Full stack development
Testing
Technology
Languages
Python
Typescript
Dart
Swift
Objective C
Java
Scala
Libraries
Pytorch
Tensorflow
Numpy
Pandas
DRF
Akka
Selenium
Mocha
Frameworks
Django
Play
Angular
React
Flutter
SwiftUI
Spring / SpringBoot
Tools
Git
Linux
Docker
Gatling
AWS
Terraform
Jenkins
JIRA
Experience
Engineering Lead and Founder
WxH Inc. // 2021 to present
Director of Engineering
Concentric Sky // 2018 – 2019
Software Engineer
Concentric Sky // 2011 – 2018
Airborne Cryptologic Linguist
United States Air Force // 2001 – 2007
Education
M.S. Computer Science
Machine Learning focus
Oregon State University // 2022
B.S. Computer Science
Math minor
University of Oregon // 2011
A.A. Korean Language
Defense Language Institute // 2003
Projects
Here are some of the interesting projects that I’ve worked on.
Width by Height
Flutter • Swift • Firebase
iPad-first app for designing artwork arrangements. Import your artwork or use ones from The Met, photograph your space, drag and drop to design. Preview arrangements live in your space with augmented reality.
PORTL
Angular • Play • MongoDB
A search platform for local cultural events. Aggregation pipeline merges event data from upstream APIs using Akka. Search API supports end-user application. Angular admin frontend supports manual create / edit / import / export.
Digital Promise
Angular • Django • MySQL
Microcredential authoring and assessment platform. Admins create assessments and define award criteria. Recipients take assessments and Assessors score and award badges, subject to review by Reviewers.
Applied Machine Learning
Examples of how I’ve used Machine Learning to improve project outcomes.
Room Type Classifier Implementation
I fine-tuned a MobileNet-based classifier on two indoor scene datasets and deployed it into a Flutter app for on-device inference.
Intelligent Agents and Decision Making
I trained an agent to navigate a simulated frozen lake using two reinforcement learning approaches and compared the results.
Data Augmentation
I surveyed the literature on data augmentation for video-based computer vision tasks to discover areas for future research.
A little bit about me
I grew up in Eugene, Oregon. After high school, I spent six years in the Air Force as an Airborne Cryptologic Linguist in Korean. I was always interested in software, so when I separated I went to the University of Oregon for Computer Science.
I took my first job at a client services software company. Because there were always new clients and projects, I was able to learn a lot of new tools and techniques. My responsibilities and level of project ownership also grew over the years.
In 2019, my wife and I decided to travel the world. We bought a one-way ticket to the Azores. We saw a wide swath of western Europe (and Morocco!) before COVID made us turn our attention back homeward.
I decided to go back to school for machine learning. During my master’s program at Oregon State University, my wife and I founded our startup. We’ve learned a lot!
We’ve recently moved to Pennsylvania as a way to explore a new area, access new cities, and be closer to family.
