Machine Learning
I'm fascinated that simple probability can appear so intelligent.
I'm open to new opportunities.
14+
Years Experience
50+
Projects Supported
20+
Countries Visited
Current Interests
Computer Vision
I am 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 Wordle to jigsaws.
Robotics
Lately, I have been dabbling in projects around the house, like an automatic bird bath cleaner.
Expertise
API Design
- Requirement analysis
- Documentation, discoverability, browsability
- OpenAPI, JSON Schema, APIs.json
Data Modeling
- SQL and NoSQL
- Schema, indexes, queries
Full Stack Development
- Single-page apps, server-side rendering, iOS, Android
- Server code, services, APIs, databases
- Deployment, infrastructure, orchestration
Testing
- Test planning and coverage strategy
- Unit, integration, UI automation, load
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
AI Engineer
Cortina Productions
Engineering Lead and Founder
WxH Inc.
Director of Engineering
Concentric Sky
Software Engineer
Concentric Sky
Airborne Cryptologic Linguist
United States Air Force
Education
M.S. Computer Science
Machine Learning focus
Oregon State University
B.S. Computer Science
Math minor
University of Oregon
A.A. Korean Language
Defense Language Institute
Projects
The National Archives
- FastAPI • Azure Cloud Native
Personalized record recommendation API backing 30 interactive stations in The American Story gallery. A combination of AI-driven tagging and semantic reranking surfaces relevant matches from a set of 2 million records.
- Implemented a semantic search pipeline with Azure AI Search
- Collected user feedback to train an engagement level regression model
- Summarized record relevance with LLM
Width by Height
- Flutter • Swift • Firebase
iPad-first app for designing artwork arrangements. Import your artwork or browse The Met, photograph your space, drag and drop, and preview arrangements in your room with AR.
- Built the Flutter app with Firebase integration
- Detected artwork with the iOS Vision framework
- Automated scale and perspective correction
PORTL
- Angular • Play • MongoDB
A search platform for local cultural events. An aggregation pipeline merged event data from upstream APIs, and the admin frontend supported manual create, edit, import, and export.
- Created the data model, indexes, and queries
- Built backend APIs, admin UI, and the data pipeline
- Managed CI/CD with Jenkins Pipeline
Digital Promise
- Angular • Django • MySQL
Microcredential authoring and assessment platform. Admins authored assessments and criteria, recipients completed assessments, and reviewers moderated awards.
- Designed architecture and data model
- Implemented backend API services
- Containerized application services with Docker
Applied Machine Learning
Image Classification
Room Type Classifier Implementation
I fine-tuned a MobileNet-based classifier on indoor scene datasets and deployed it into a Flutter app for on-device inference.
Reinforcement Learning
Intelligent Agents and Decision Making
I trained an agent to navigate a simulated frozen lake using two reinforcement learning approaches and compared the results.
Literature Review
Data Augmentation
I surveyed the literature on data augmentation for video-based computer vision tasks to identify promising 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 learned a lot! We moved to Pennsylvania as a way to explore a new area, access new cities, and be closer to family.
Since then, I've found great fulfilment building interactive experiences for museums.