Software/AI engineer at Enzy, building products with LLMs at the core. Recently graduated from BYU with a Master's in Computer Science (ML emphasis).
Outside of work: film photography, golf, skateboarding and gaming.
- ML: Deep learning, probabilistic ML, Bayesian methods, NLP, computer vision
- Agents: LangChain, Evaluation of Agent Systems
- Languages: Python, TypeScript
- Infra: AWS, Postgres, Docker, Terraform/OpenTofu
probcal — A new metric for evaluating the calibration of probabilistic deep learning models.
Computational Photography Optimizer — A creative system that collaborates with users to improve their photography.
"If debugging is the process of removing software bugs, then programming must be the process of putting them in." — Edsger Dijkstra