01
Find North
A five-round geography game that asks players to recover true north from a rotated, unlabeled satellite map.
Built the scoring, constrained map interactions, accessible compass controls, and animated answer reveal from scratch.
Open to machine learning engineering roles
I build machine learning systems that work beyond the notebook.
I'm David Sasser, a machine learning engineer focused on computer vision and production-ready ML. I care about the full path from data and evaluation to reliable software that people can actually use.
01 / SELECTED WORK
Projects I've built
A few examples of how I approach data, model evaluation, engineering tradeoffs, and shipping working systems.
02
Computer vision project
Describe the visual problem, the data you worked with, and how the model fits into a useful end-to-end system.
Add evaluation results such as precision, recall, mAP, latency, or performance on difficult edge cases.
03
Machine learning system
Show how you turned an experiment into reliable software through data pipelines, evaluation, deployment, or monitoring.
Explain the engineering tradeoffs you made and use measurements wherever possible.
02 / ABOUT
How I work
I like turning ambiguous problems into measurable machine learning systems. My approach is practical: understand the real need, inspect the data, establish a sound baseline, evaluate the failure modes, and improve what matters.
I'm especially interested in computer vision work and teams that value rigorous experimentation, clear communication, and strong engineering over unnecessary complexity.
Tools I use
- Python
- PyTorch
- Computer Vision
- OpenCV
- Model Evaluation
- Data Pipelines
- TypeScript
- SQL
03 / CONTACT
Let's talk.
I'm currently looking for my next machine learning engineering opportunity, particularly in computer vision. If my work looks relevant to your team, I'd be glad to hear from you.